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Hope, Ole-Kristian & Liu, Junhao
(2022)
Does stock liquidity shape voluntary disclosure? Evidence from the SEC tick size pilot program
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Cantelmi, Raffaele; Steen, Riana, Di Gravio, Giulio & Patriarca, Riccardo
(2022)
Resilience in emergency management: Learning from COVID-19 in oil and gas platforms
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Emergency or crisis management, both in civilian or military context, is regarded as a complex socio-technical system, whose dynamic nature and complexity require a holistic approach. Over time, scholars developed diverse strategies and methods to capture such complexity and effectively design emergency plans for more or less severe disasters scenarios. Nonetheless, planning is not always an omni-comprehensive task, pushing organizations to stretch their adaptive capacities in dynamic and challenging settings.
This manuscript explores such adaptive capacity as put in place by a leading Norwegian organization in providing emergency management solutions, facing unexpected challenges (at the time of the event): handling of Covid-19 infection episodes on offshore oil platforms.
The study, conducted through the Functional Resonance Analysis Method (FRAM) highlights the relevance of organizational learning which allows to handle emergencies by adapting plans to the specific context and by renewing new emergency management procedures derived from lessons learned. The study focuses on three different Covid-19 infection management cases to understand the nuances of actions and emerging adaptations that led to the development of a revised of an emergency plan, seen again through the lens of FRAM. While the methodological approach refers to Covid-19 infection management, we believe it can be extended into larger crisis management, providing a use case for the applicability of FRAM into emergency management scenarios.
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Bø, Eirill & Mjøsund, Christian S.
(2022)
Use of GPS-data to improve transport solutions in a cost and environmental perspective
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In this paper we have utilised GPS data as a base to track truck movements and analyse transport activities. Combined with a Decision Support Tool we have investigated how different transport solutions affect the transport cost and CO2 emissions. The information gained from GPS-data helps firms such as a fruit and vegetables wholesaler to gain better insights into their transport solution and operations from a cost and environmental perspective. This also means that the current analysis remains useful for the transporting company in making strategic decisions as to when and where they should engage in other transport assignments to improve the load factors on their trucks.
This paper presents that the picture the decision-makers had prior to GPS data being used was different from the real situation, and the insights gained lead to new knowledge and actions. As a result, this would contribute to greener and more cost-efficient solutions.
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Steen, Riana & Pollock, Kevin
(2022)
Effect of Stress on Safety-critical Behaviour: An Examination of combined Resilience Engineering and Naturalistic Decision-making Approaches
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Perraudat, Antoine; Dauzère-Pérès, Stéphane & Vialletelle, Philippe
(2022)
Robust tactical qualification decisions in flexible manufacturing systems
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In some flexible manufacturing systems, such as semiconductor manufacturing systems, machines must be qualified, i.e. certified and eligible, to process a product. This paper investigates a tactical capacity planning problem that consists in minimizing the number of (product, machine) qualifications to ensure that the manufacturing system is robust against the uncertainty on the product mix. First, we propose a deterministic modeling of the problem, followed by a robust modeling based on the robust optimization paradigm when demand uncertainty is characterized by product cannibalization. Then, a mathematical model, also based on the robust optimization paradigm, to characterize the robustness of a set of qualifications is introduced. Finally, in the computational study on industrial data, we show that the price of uncertainty is small, often less than a few additional qualifications by machine whereas the robustness of the qualifications determined for the nominal product mix often lead to capacity constraint violations. We also show that a restricted number of new relevant qualifications out of all possible new qualifications is required to achieve the same robustness as the case where all new qualifications are performed. Considering demand uncertainty in qualification management is therefore critical since robustness is relatively cheap.
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Che, Limei; Myllymäki, Emma-Riikka & Svanstrøm, Tobias
(2022)
Auditors’ self-assessment of engagement quality and the role of stakeholder priority
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van Oorschot, Kim E.; Akkermans, Henk A. , Wassenhove, Luk N. van & Wang, Yan
(2022)
Organizing for Permanent Beta: Performance Measurement Before versus Performance Monitoring After Release of Digital Services
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Charles, Mehdi; Dauzère-Pérès, Stéphane, Kedad-Sidhoum, Safia & Mazhoud, Issam
(2022)
Motivations and analysis of the capacitated lot-sizing problem with setup times and minimum and maximum ending inventories
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This paper first analyzes the negative impact of the end-of-horizon effect when solving the capacitated multi-item lot-sizing problem with setup costs and times on a rolling horizon. Maximum ending inventories for items and a global minimum ending inventory are considered to define a new optimization problem whose optimal solutions are much less impacted by the end-of-horizon effect. Then, a generation scheme is proposed to create new instances with initial inventories and ending inventories. This scheme relies on the analysis of the cyclical production planning problem to derive relevant parameters. Computational experiments are carried out to compare the solutions obtained for original instances of the literature and for the new instances, and to analyze the relevance of the new instances on a rolling horizon.
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Walrave, Bob; Dolmans, Sharon, van Oorschot, Kim E., Nuijten, Arno L. P. , Keil, Mark & van Hellemond, Stefan
(2022)
Dysfunctional Agile-Stage-Gate Hybrid Development: Keeping Up Appearances
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van Oorschot, Kimball Elizabeth; Wassenhove, Luk N. van & Jahre, Marianne
(2022)
Collaboration–competition dilemma in flattening the COVID-19 curve
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Testing for COVID-19 is a key intervention that supports tracking and isolation to prevent further infections. However, diagnostic tests are a scarce and finite resource, so abundance in one country can quickly lead to shortages in others, creating a competitive landscape. Countries experience peaks in infections at different times, meaning that the need for diagnostic tests also peaks at different moments. This phase lag implies opportunities for a more collaborative approach, although countries might also worry about the risks of future shortages if they help others by reallocating their excess inventory of diagnostic tests. This article features a simulation model that connects three subsystems: COVID-19 transmission, the diagnostic test supply chain, and public policy interventions aimed at flattening the infection curve. This integrated system approach clarifies that, for public policies, there is a time to be risk-averse and a time for risk-taking, reflecting the different phases of the pandemic (contagion vs. recovery) and the dominant dynamic behavior that occurs in these phases (reinforcing vs. balancing). In the contagion phase, policymakers cannot afford to reject extra diagnostic tests and should take what they can get, in line with a competitive mindset. In the recovery phase, policymakers can afford to give away excess inventory to other countries in need (one-sided collaboration). When a country switches between taking and giving, in a form of two-sided collaboration, it can flatten the curve, not only for itself but also for others.
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Kisser, Michael & Rapushi, Loreta
(2022)
Equity issues, creditor control and market timing patterns: Evidence from leverage decreasing recapitalizations
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We contribute to the literature on “market timing” by exploring periods of simultaneous equity issues and debt retirements (a leverage decreasing recapitalization, LDR). Contrary to traditional equity issues, LDRs are predicted by measures of creditor control whereas capital investment has no such predictive power. Nevertheless, LDRs occur after stock price run- ups and in periods of high valuation which subsequently decrease. The valuation dynamics are robust and also obtain for subsamples of LDR firms violating financial covenants. A comparison to debt retirements financed by illiquid asset sales and an analysis of discretionary cost items further corroborates the interpretation that LDR firms successfully “time the market” to finance the debt retirement.
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Akartunali, Kerem & Dauzère-Pérès, Stéphane
(2022)
Dynamic Lot Sizing with Stochastic Demand Timing
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In this paper, a novel way of modeling uncertainty on demand in the single-item dynamic lot sizing problem is proposed and studied. The uncertainty is not related to the demand quantity, but rather to the demand timing, i.e., the demand fully occurs in a single period of a given time interval with a given probability and no partial delivery is allowed. The problem is first motivated and modeled. Our modeling naturally correlates uncertain demands in different periods contrary to most of the literature in lot sizing. Dynamic programs are then proposed for the general case of multiple demands with stochastic demand timing and for several special cases. We also show that the most general case where the backlog cost depends both on the time period and the stochastic demand is NP-hard.
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Steen, Riana; Haakonsen, Geir & Patriarca, Riccardo
(2022)
'Samhandling': On the nuances of resilience through case study research in emergency response operations
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Standard emergency-management procedures offer guidance on how organizations can improve their handling of all types of emergencies. However, such a generalization undermines uncertainties and oversimplifies the complexity of real work practices during an emergency response operation (ERO). The handling of the COVID-19 pandemic highlights how uncertainty and escalating consequences reinforce the need for resilience in EROs. To illustrate the key elements of our suggested approach and its practical implications, we discuss the issues in light of a case study related to a COVID-19 outbreak on a floating oil rig in the North Sea. The analysis reveals several instances of creative problem solving, and individual and collective efforts beyond the scope of the standard procedures. It also underlines how the shortcomings of resource allocation and over-planning might lead to inflexibility, thus harming EROs' efficiency. Our analysis highlights that the key to resilient EROs lies in robust coordination, the ability to improvise, transparency, and trusting communication between the actors involved. Greater focus on network building—proactively maintained through regular training and exercise activities—strengthens resilience in emergency-management systems. All these traits link to the Norwegian term “samhandling,” a notion which is here proposed to summarize and connect these resilience capacities.
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Zuiderwijk, Dianka; Steen, Riana & Pedro, Ferreira
(2022)
Learning from Operational planning
International Journal of Business Continuity and Risk Management (IJBCRM), 12(3).
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Dauzère-Pérès, Stéphane & Nonås, Sigrid Lise
(2022)
An improved decision support model for scheduling production in an engineer-to-order manufacturer
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This paper outlines a mathematical model to solve a scheduling problem for a company engineering and producing propellers to order. Nonås and Olsen (Comput Oper Res 32(9):2351–2382, 2005) have previously introduced a Mixed Integer Programming model for this production setting with the objective of minimizing the total tardiness. The mathematical model could however not be used to solve realistic sized problem instances, because of the very large solution time. We propose a new time indexed formulation that can solve most industrial problem instances in less than 10 min. This work is further extended by taking into account limited storage capacity and by proposing different methods to balance between total tardiness and maximum tardiness. We illustrate how the solution time and the criteria change for different setups of the mathematical model and suggest which setup to use for different scenarios. The paper also discusses how the new model can be extended to include unexpected events such as emergency orders and unavailable production equipment.
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Hope, Ole-Kristian; Li, Congcong, Ma, Mark Shuai & Su, Xijiang
(2022)
Is silence golden sometimes? Management guidance withdrawals during the COVID-19 pandemic
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Ahlqvist, Victoria; Dube, Nonhlanhla, Jahre, Marianne, Lee, Jin Soo, Melaku, Tsegaye, Farstad Moe, Andreas, Olivier, Max, Selviaridis, Kostas, Viana, Joe & Årdal, Christine Oline
(2022)
Supply chain risk management strategies in normal and abnormal times: Policymakers’ role in reducing generic medicine shortages
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This paper links supply chain risk management to medicine supply chains to explore the role of policymakers in employing supply chain risk management strategies (SCRMS) to reduce generic medicine shortages.
Using secondary data supplemented with primary data, we map and compare seven countries’ SCRMS for handling shortage risks in their paracetamol supply chains before and during the first two waves of the COVID-19 pandemic.
Consistent with recent research, the study finds that policymakers had implemented few SCRMS specifically for responding to disruptions caused by COVID-19. However, shortages were largely avoided since multiple strategies for coping with business-as-usual disruptions had been implemented prior to the pandemic. We did find that SCRMS implemented during COVID-19 were not always aligned with those implemented pre-pandemic. We also found that policymakers played both direct and indirect roles.
Combining longitudinal secondary data with interviews sheds light on how, regardless of the level of preparedness during normal times, SCRMS can be leveraged to avert shortages in abnormal times. However, the problem is highly complex, which warrants further research Supply chain professionals and policymakers in the healthcare sector can use the findings when developing preparedness and response plans.
The insights developed can help policymakers improve the availability of high-volume generic medicines in (ab)normal times.
We contribute to prior SCRM research in two ways. First, we operationalize SCRMS in the medicine supply chain context in (ab)normal times, thereby opening avenues for future research on SCRM in this context. Second, we develop insights on the role policymakers play and how they directly implement and indirectly influence the adoption of SCRMS. Based on our findings, we develop a framework that captures the diverse roles of policymakers in SCRM.
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van Oorschot, Kimball Elizabeth; Nujen, Bella B., Solli-Sæther, Hans Arthur & Mwesiumo, Deodat Edward
(2022)
The complexity of post-mergers and acquisitions reorganization: Integration and differentiation
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This article applies a mixed-method approach to explore the complexities of post-mergers and acquisitions (M&A) integration processes. Extant literature provides significant insights regarding the impact of task and human integration and their influence on post-integration processes. However, the literature often fails to differentiate between subelements of these two dimensions. This article investigates task and human integration in a cross-border M&A aimed at efficiency and innovativeness. We highlight the importance of a clear distinction between two subelements of task integration (product harmonization and structural integration) and show that different interorganizational contexts matter. Consequently, we propose a conceptual framework based on two contextual characteristics—source of synergy and choice of location—suggesting that different integration approaches should be applied simultaneously in different contexts of the same post-M&A organization.
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Hope, Ole-Kristian; Wang, Danye, Yue, Heng & Zhao, Jianyu
(2022)
Information Quality and Workplace Safety
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Hope, Ole-Kristian; Rao, Pingui, Xu, Yanping & Yue, Heng
(2022)
Information sharing between mutual funds and auditors
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Dube, Nonhlanhla; Li, Qiujun, Selviaridis, Kostas & Jahre, Marianne
(2022)
One crisis, different paths to supply resilience: The case of ventilator procurement for the COVID-19 pandemic
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Perraudat, Antoine; Dauzère-Pérès, Stéphane & Vialletelle, Philippe
(2022)
Optimizing multiple qualifications of products on non-identical parallel machines
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Lang, Wei; Lang, Hao, Hui, Eddie C.M., Chen, Tingting, Wu, Jiemin & Jahre, Marianne
(2022)
Measuring urban vibrancy of neighborhood performance using social media data in Oslo, Norway
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Cahan, Steven F.; Che, Limei, Knechel, W. Robert & Svanstrøm, Tobias
(2022)
Do Audit Teams Affect Audit Production and Quality? Evidence from Audit Teams’ Industry Knowledge
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Chy, Mahfuz & Hope, Ole-Kristian
(2021)
Real effects of auditor conservatism
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Steen, Riana & Molde, Alf Inge
(2021)
Håndtering av langvarige beredskapshendelser: Læringspunkter etter covid-19-utbrudd på West Phoenix
Magma - Tidsskrift for økonomi og ledelse, p. 70-79.
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Pinchasik, Daniel Ruben; Hovi, Inger Beate, Bø, Eirill & Mjøsund, Christian S.
(2021)
Can active follow-ups and carrots make eco-driving stick? Findings from a controlled experiment among truck drivers in Norway
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This article presents results from a randomized controlled eco-driving experiment with differential treatment between two groups of truck drivers in Norway. Using data from in-vehicle devices, we investigate whether eco-driving interventions (a course, active monthly follow-ups, and non-monetary incentives) reduce fuel consumption by inducing more efficient driving behavior for drivers in a treatment group, compared to a control group. Hereby, we consider persistence of effects over time and the relative importance of eco-driving factors, while controlling for fixed vehicles, routes, drivers, and weather.
We find significant fuel consumption reductions, persisting over a longer period of time than in most previous studies (where effects fade or disappear), that weather conditions are important, and evidence of an ‘eco-driving learning curve’. This might result from monthly follow-ups and driver rewards. Further, we find spill-over effects through significant fuel savings for drivers in the control group (undergoing no interventions). These are likely the result of them becoming aware that ‘something eco-driving related’ is going on.
Our analysis suggests that improvements on engine and gear management contribute most to fuel savings. We estimate the potential for fuel savings to lie between 5.2 and 7.5% (lower bound, control group) and 9% (upper bound, treatment group). This implies a potential for significant cost savings and emission reductions, which might to some extent be scalable and transferable to other settings. As such, eco-driving may play one part in reducing emissions from road freight, for which much-needed emission reductions are challenging to achieve, especially in the shorter run.
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Steen, Riana & Rønningsbakk, Bernt
(2021)
Emergent Learning During Crisis: A case study of the Arctic Circle border crossing at Storskog in Norway
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de Vries, Harwin; Jahre, Marianne, Selviaridis, Kostas, Van Oorschot, Kim & Van Wassenhove, Luk N.
(2021)
Short of Drugs? Call Upon Operations and Supply Chain Management
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Mauritzen, Johannes
(2021)
The Covid-19 shock on a low-carbon grid: Evidence from the nordics
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Tamssaouet, Karim; Dauzère-Pérès, Stéphane, Knopp, Sebastian, Bitar, Abdoul & Yugma, Claude
(2021)
Multiobjective Optimization for Complex Flexible Job-Shop Scheduling Problems
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Yang, Wenhui; Chen, Lu & Dauzère-Pérès, Stéphane
(2021)
A dynamic optimisation approach for a single machine scheduling problem with machine conditions and maintenance decisions
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In modern production systems, considering machine conditions is becoming essential to achieving an overall optimisation of the production schedule. This paper studies a single machine scheduling problem, where the actual processing times of jobs depend on their position in the production sequence and maintenance is considered. Moreover, the machine is subject to an uncertain condition variation. There is a trade-off between rejecting a maintenance action, resulting in longer processing times, and accepting a maintenance action, leading to higher processing efficiency for future jobs. The problem is formulated as a finite-horizon Markov Decision Process. The objective is to minimise the makespan. Optimality properties are analysed, based on which a dynamic optimisation approach is developed. Computational experiments demonstrate the effectiveness of the proposed approach.
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Bitar, Abdoul; Dauzère-Pérès, Stéphane & Yugma, Claude
(2021)
Unrelated parallel machine scheduling with new criteria: Complexity and models
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Steen, Riana; Patriarca, Riccardo & Di Gravio, Giulio
(2021)
The chimera of time: Exploring the functional properties of an emergency response room in action
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Mauritzen, Johannes & Sucarrat, Genaro
(2021)
Increasing Or Diversifying Risk?Tail Correlations, Transmission Flows And Prices Across Wind Power Areas
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Che, Limei; Langli, John Christian & Svanstrøm, Tobias
(2021)
Are Audit Partners’ Compensation and Audit Quality related to their consulting revenues?
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Hope, Ole-Kristian; Huang, Zhongwei & Moldovan, Rucsandra
(2021)
Wall street analysts as investor relations officers
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Hope, Ole-Kristian; Jiang, Shushu & Vyas, Dushyantkumar
(2021)
Government transparency and firm-level operational efficiency
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Flygansvær, Bente Merete; Samuelsen, Asta Gjetø & Støyle, Rebecka Våge
(2021)
The power of nudging: how adaptations in reverse logistics systems can improve end-consumer recycling behavior
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Jahre, Marianne & Jensen, Leif-Magnus
(2021)
Coordination at the 10-year mark of the JHLSCM–from global response to local preparedness
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Perraudat, Antoine; Dauzère-Pérès, Stéphane & Mason, Scott Jennings
(2021)
Stochastic programming approaches for an energy-aware lot-sizing and sequencing problem with incentive
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Barhebwa-Mushamuka, Félicien; Dauzère-Pérès, Stéphane & Yugma, Claude
(2021)
A global scheduling approach for cycle time control in complex manufacturing systems
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Hope, Ole-Kristian & Su, Xijiang
(2021)
Peer-level analyst transitions
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This study examines the effect of peer-level analyst transitions (i.e., switching between brokerage houses) on associated regular incumbent analysts' forecasting performance. We employ a difference-in-differences research design with analyst fixed effects and compare incumbent analysts of different groups within the same broker and same time periods. We find that incumbents who cover at least one common industry as the transiting analyst (i.e., affected incumbents) issue more accurate and timely forecasts after a transiting analyst arrives than incumbents who cover different industries (i.e., unaffected incumbents). Further, affected incumbents issue less accurate forecasts after a transiting analyst leaves than do unaffected incumbents. We also examine potential mechanisms of knowledge spillover and find some evidence that the effect is more salient when the transiting analyst switches from a larger brokerage house, has greater industry scope, or covers geographically linked firms.
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Deng, Yingwen; Hope, Ole-Kristian, Wang, Cyndia & Zhang, Min
(2021)
Capital market liberalization and auditors’accounting adjustments: Evidence from aquasi-experiment
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Using a shock to the Chinese capital market and unique and detailed audit-adjustment data, this paper investigates the effect of a capital market liberalization program on auditors’ adjustments to their clients’ financial reports. Employing difference-in-differences tests with propensity score matching and firm fixed effects (FE), we find that the capital market liberalization induced by the implementation of the Shanghai-Hong Kong Stock Connect affects auditors’ professional judgment and leads to audit-adjustment changes stimulated by greater reputational and litigation risks for auditors. Specifically, while the liberalization significantly decreases the frequency and magnitude of upward audit adjustments, the probability of downward adjustments remains the same in most cases. Further evidence shows that the effect is more pronounced for companies with high trading volume from Hong Kong investors, audited by the largest audit firms and with low financial transparency.
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Dekeyser, Simon; Gaeremynck, Ann, Knechel, W. Robert & Willekens, Marleen
(2021)
Multimarket Contact and Mutual Forbearance in Audit Markets
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Bruno, Lars Christian & Steen, Riana
(2021)
Norwegian oil market concentration and its effects on the oil service companies 1993–2013
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Cheng, Stephanie F.; Hope, Ole-Kristian & Hu, Danqi
(2021)
Strategic entry deterrence in the audit industry: Evidence from the merger of professional accounting bodies
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Bleibtreu, Christopher; Königsbruber, Roland & Lanzi, Thomas
(2021)
Financial reporting and corporate political connections: An analytical model of interactions
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We analyze the interactions between accounting institutions and corporate political connections (CPCs). We present a model where a costly policy depends on the perceived economic condition of a firm. This policy and the valuation of the firm by capital market participants create incentives for the firm to manipulate its financial reports. A politician has some discretion over the policy and can use it to favor a connected firm. Our analysis reveals that the firm’s financial reporting is determined by the interplay of an accounting standard, enforcement strictness, and the salience of the policy for the firm. The possibility to manipulate the financial reports imposes an upper boundary on the value of political connectedness which does not exist if only truthful reporting is possible. The reason is that a low credibility of reported figures leads only to a weak revision of the policy. In general, the value of CPCs is highest when the financial reporting regime evenly splits between firms in good and bad economic condition. Our analysis further suggests that while connected firms generally report being in good condition more often than non-connected firms do, the effect of CPCs on absolute reporting manipulation depends on policy salience. If policy salience is low, connected firms exhibit a higher absolute degree of manipulation than non-connected firms do; the opposite holds if policy salience is high.
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Dekeyser, Simon; Gaeremynck, Ann, Knechel, W. Robert & Willekens, Marleen
(2021)
The Impact of Partners’ Economic Incentives on Audit Quality in Big 4 Partnerships
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Economic incentives are fundamental for understanding auditor behavior. In this paper, we investigate the association between the extent of partners’ fee-based compensation, partners’ observable net wealth, and audit quality. Using a sample of Belgian Big 4 audit firms and their predominantly private clients, our results suggest a negative association between audit quality and partner fee-based compensation, and a positive association between audit quality and partner observable net wealth. Moreover, our results show that the latter association is most significant when a partner is carrying a lot of debt, which indicates that a partner’s financial situation may affect audit quality. The extent of fee-based incentives also varies among partners of the same audit firm. Furthermore, partner and client characteristics differ based on the extent of fee-based compensation. Our findings should be of interest to regulators and audit firms as they suggest that audit partner’s economic incentives significantly affect audit quality.
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Flygansvær, Bente Merete; Bygballe, Lena Elisabeth & Harrison, Debbie
(2021)
Hvordan få kraft i bærekraft?
Magma - Tidsskrift for økonomi og ledelse, nr 5, p. 104-110.
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Steen, Riana; Ingvaldsen, Geir & Patriarca, Riccardo
(2021)
Engineering resilience in a prison's performance management system
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Annelin, Alice & Svanstrøm, Tobias
(2021)
The Triggers and Consequences of Audit Team Stress: Qualitative evidence from engagement teams
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Beraudy, Sébastien; Absi, Nabil & Dauzère-Pérès, Stéphane
(2021)
Timed route approaches for large multi-product multi-step capacitated production planning problems
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Sundgren, Stefan & Svanstrøm, Tobias
(2021)
Regulatory sanction risk and going-concern reporting practices: evidence for privately held firms
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Mohammadi, Mehrdad; Dauzère-Pérès, Stéphane, Yugma, Claude & Karimi‐Mamaghan, Maryam
(2020)
A queue‐based aggregation approach for performance evaluation of a production system with an AMHS
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Dauzère-Pérès, Stéphane & Hassoun, Michael
(2020)
On the importance of variability when managing metrology capacity
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Che, Limei; Hope, Ole-Kristian & Langli, John Christian
(2020)
How Big-4 Firms Improve Audit Quality
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Lima, Alexandre; Borodin, Valeria, Dauzère-Pérès, Stéphane & Vialletelle, Philippe
(2020)
A sampling-based approach for managing lot release in time constraint tunnels in semiconductor manufacturing
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For the sake of product yield and quality considerations, Time Constraints (TCs) are imposed between process operations in various multi-product manufacturing systems. Often spanning a number of operations, time constraints tend to follow each other in close succession and overlap, forming thus Time Constraint Tunnels (TCTs). The regulation problem of releasing lots in these time constraint tunnels is particularly challenging in semiconductor manufacturing systems, because of re-entrant flows, machine heterogeneity and High Mix Low Volume (HM-LV) production configurations, which are typical in many wafer fabrication facilities. In such an evolving and time-varying context, this paper proposes a sequential sampling-based approach to estimate the probability that, prior to its release, a lot leaves a given time constraint tunnel on time. The proposed approach proves to be competitive in various respects by: (i) taking into account industry specific features, (ii) being industrially tractable, and (iii) being sensitive and responsive to the current manufacturing system. Based on real-life instances, numerical experiments highlight the computational effectiveness and the industrial soundness of the proposed problem modeling together with the solution approach.
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Bø, Eirill & Baxter, John
(2020)
Transparency as a Driver for Logistical Efficiency in WEEE Collection and Transport
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Altazin, Estelle; Dauzère-Pérès, Stéphane, Ramond, François & Tréfond, Sabine
(2020)
A multi-objective optimization-simulation approach for real time rescheduling in dense railway systems
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Steen, Riana & Ferreira, Pedro NP
(2020)
Resilient flood-risk management at the municipal level through the lens of the Functional Resonance Analysis Model
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This exploratory study takes a closer look at the flood Risk Management (RM) system at a municipality level. The current practices of RM in municipalities follow to a large extent, a standard structure of RM processes. Their application comes short of addressing the wide range of local specificities and other complexity related socio-technical factors that can have widespread impacts, much beyond the municipal scope. This study uses concepts and ideas from the resilience engineering literature to enhance the practices of the RM system. We apply the Functional Resonance Analysis Method (FRAM) to investigate the extent to which key RM activities are in line with generating anticipating, monitoring, responding and learning capabilities in the flood RM system. We examine the performance of RM functions, how they are coupled, and whether they can be sustained in the wake of a flood event. A triangulation of various qualitative research approaches is adopted, namely using semi-structured interviews, document analysis and workshop. Our findings reveal how the application of FRAM provides a deeper understanding of the underlying factors that shape the resilience of the RM process.
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Le Quéré, Étienne; Dauzère-Pérès, Stéphane, Tamssaouet, Karim, Maufront, Cédric & Astie, Stéphane
(2020)
Dynamic Sampling for Risk Minimization in Semiconductor Manufacturing
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Khalilov, Akram & Garcia Osma, Beatriz
(2020)
Accounting conservatism and the profitability of corporate insiders
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Averhals, Liesbeth; Van Caneghem, Tom & Willekens, Marleen
(2020)
Mandatory audit fee disclosure and price competition in the private client segment of the audit market.
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Pinchasik, Daniel Ruben; Hovi, Inger Beate, Mjøsund, Christian S., Grønland, Stein, Fridell, Erik & Jerksjö, Martin
(2020)
Crossing borders and expanding modal shift measures: effects on mode choice and emissions from freight transport in the Nordics
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Considering the underachievement on modal shift and environmental objectives for freight transport, scholars and policy makers recurrently ask how more road freight can be shifted to rail and waterborne transport. The current study simulates transport and modal distribution effects for several scenarios in which modal shift policy measures are strengthened, expanded, combined, and harmonized across borders in the Nordics. Found transport effects were then used in an environmental model to assess implications for energy use and emissions of CO2,eq, NOx, and particulate matter, gaining insights into which policy measures are more effective or complement each other, and whether international harmonization might increase effectiveness, and modal shift. From our simulations, a Norwegian ecobonus scheme for rail yields larger modal shift away from road than a similar ecobonus for sea transport. Facilitating longer freight trains yields more modal shift but has high policy costs. Effects of harmonizing policies across Nordic countries vary but can be strengthened by combining different measures. However, even for scenarios with strong policy measures, reductions in CO2,eq emissions do not exceed 3.6% in 2030 while sometimes increasing local air pollution. Modal shift policy should therefore not exclusively be regarded as environmental strategy, although it may contribute to other policy objectives.
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Stenheim, Tonny; Henriksen, Andreas Gausemel, Stensager, Carl Magnus, Grønseth, Bjørn Ove & Madsen, Dag Øivind
(2020)
Broadcasting revenues and sporting success in European football: Evidence from the Big Five leagues
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Fang, Bingxu & Hope, Ole-Kristian
(2020)
Analyst teams
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Pollock, Kevin & Steen, Riana
(2020)
Total Defence Resilience: viable or not during COVID-19?
A comparative study of Norway and the UK.
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Hope, Ole-Kristian & Lu, Haihao
(2020)
Economic consequences of corporate governance disclosure: Evidence from the 2006 SEC regulation on related-party transactions
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Willekens, Marleen; Dekeyser, Simon, Bruynseels, Liesbeth & Numan, Wieteke
(2020)
Auditor Market Power and Audit Quality Revisited: Effects of Market Concentration, Market Share Distance, and Leadership
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Ruud, Flemming & Bensultana, Yasmine
(2020)
Three Lines of Defence Model: Quo Vadis?
Expert Focus.
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Ruud, Flemming; Bensultana, Yasmine & Kyburz, Adrian
(2020)
Das Drei-Linien-Modell des IIA: Eine Aktualisierung der Three Lines of Defence
Expert Focus, 94, p. 716-721.
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Fang, Bingxu; Hope, Ole-Kristian, Huang, Zhongwei & Moldovan, Rucsandra
(2020)
The effects of MiFID II on sell-side analysts, buy-side
analysts, and firms
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Frennesson, Lina; Kembro, Joakim, de Vries, Harwin, Van Wassenhove, Luk N. & Jahre, Marianne
(2020)
Localisation of Logistics Preparedness in International Humanitarian Organisations
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Hope, Ole-Kristian; Jiang, Shushu & Vyas, Dushyantkumar
(2020)
Government procurement and financial statement certification: Evidence from private firms in emerging economies
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Eckbo, B. Espen & Kisser, Michael
(2020)
Tradeoff Theory and Leverage Dynamics of
High-Frequency Debt Issuers
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Mauritzen, Johannes
(2020)
Will the locals benefit?: The effect of wind power investments on rural wages
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Hope, Ole-Kristian; Li, Congcong, Lin, An-Ping & Rabier, MaryJane
(2020)
Happy analysts
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Lyngstadås, Hakim
(2020)
Packages or systems? Working capital management and financial performance among listed U.S. manufacturing firms
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Wu, Cheng-Hung; Zhou, Fang-Yi, Tsai, Chi-Kang, Yu, Cheng-Juei & Dauzère-Pérès, Stéphane
(2020)
A deep learning approach for the dynamic dispatching of unreliable machines in re-entrant production systems
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Hope, Ole-Kristian; Yue, Heng & Zhong, Qinlin
(2020)
China's Anti-Corruption Campaign and Financial Reporting Quality
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Steen, Riana
(2019)
On the Application of the Safety-II Concept in a Security Context
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Nattaf, Margaux; Dauzère-Pérès, Stéphane, Yugma, Claude & Wu, Cheng-Hung
(2019)
Parallel Machine Scheduling with Time Constraints on Machine Qualifications
Vis sammendrag
This paper studies the scheduling of jobs of different families on parallel machines, where not all machines are qualified (eligible) to process all job families. Originating from semiconductor manufacturing, an important constraint imposes that the time between the processing of two consecutive jobs of the same family on a machine does not exceed a given time limit. Otherwise, the machine becomes disqualified for this family. The goal is to minimize both the flow time and the number of disqualifications of job families on machines. To solve this problem, an integer linear programming model and a constraint programming model are proposed, as well as two improvement procedures of existing heuristics: A Recursive Heuristic and a Simulated Annealing algorithm. Numerical experiments on randomly generated instances compare the performances of each method.
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Steen, Riana & Morsut, Claudia
(2019)
Resilience in Crisis Management at the Municipal Level: The Synne Storm in Norway
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Hope, Ole-Kristian; Lu, Haihao & Saiy, Sasan
(2019)
Director compensation and related party transactions
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Lyngstadås, Hakim
(2019)
An empirical investigation of how information sharing affects cash flow performance through competitive capability
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Dauzère-Pérès, Stéphane; Hassoun, Michael & Sendon, Alejandro
(2019)
A Lagrangian heuristic for minimising risk using multiple heterogeneous metrology tools
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Mauritzen, Johannes
(2019)
Are Solar Panels Commodities? Evidence of Quality Differences and Asymmetric Information
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García-León, Andrés Alberto; Dauzère-Pérès, Stéphane & Mati, Yazid
(2019)
An efficient Pareto approach for solving the multi-objective flexible job-shop scheduling problem with regular criteria
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Christ, Quentin; Dauzère-Pérès, Stéphane & Lepelletier, Guillaume
(2019)
An Iterated Min-Max procedure for practical workload balancing on non-identical parallel machines in manufacturing systems
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This paper presents an original approach for a practical workload balancing problem on non-identical parallel machines in manufacturing systems. After showing the limitations of an initial model, in particular to support relevant decisions, the min–max fairness workload balancing problem is motivated and positioned in the literature. The Iterated Min–Max (IMM) procedure is then presented, with its properties, and illustrated. The IMM consists in solving a succession of linear programs using information from dual variables obtained at each iteration. Computational results on industrial instances show the relevance of the approach when compared to the initial model. The current use of the IMM procedure in an industrial tool is discussed.
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Downing, Jeff & Langli, John Christian
(2019)
Audit exemptions and compliance with tax and accounting regulations
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We examine small firms’ compliance with tax and accounting regulations before and after a change in the threshold for mandatory auditing. Prior to 2011, all Norwegian firms were required to be audited. In 2011, a law change allowed small Norwegian firms to choose not to be audited. After this change, the Norwegian Directorate of Taxes conducted on- and off-site inspections of a representative sample of 2117 Norwegian firms, with a focus on compliance with specific requirements in tax and accounting regulation. We use the results from these inspections to construct a compliance quality score (CQS). We find that the firms that chose to opt out of auditing have lower CQS than do firms that chose to continue to be audited; that the CQS of firms that chose not to be audited declined after opting out; and that some of the opt-out firms fully mitigated the decline in CQS by engaging external accountants or auditors to prepare their annual financial statements. The results should be of interest to regulators considering increasing the thresholds for mandatory auditing, as our results show that (i) firms that choose not to be audited can experience a decline in CQS after opting out and (ii) CQS can be maintained at the same level as before if opt-out firms engage external consultants that assist in preparing the annual accounts.
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Tangerås, Thomas & Mauritzen, Johannes
(2019)
Real-time versus day-ahead market power in a hydro-based electricity market
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Lima, Alexandre; Borodin, Valeria, Dauzère-Pérès, Stéphane & Vialletelle, Philippe
(2019)
Sampling-based release control of multiple lots in time constraint tunnels
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Wu, Cheng-Hung; Yao, Yi-Chun, Dauzère-Pérès, Stéphane & Yu, Cheng-Juei
(2019)
Dynamic dispatching and preventive maintenance for parallel machines with dispatching-dependent deterioration
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A dynamic decision model that coordinates dispatching and preventive maintenance decisions for failure- prone parallel machines in make-to-order (MTO) production environments is developed in this research. The primary objective is to minimize the weighted long-run average waiting costs of MTO systems. Two common but seldom studied stochastic factors, namely, the dispatching-dependent deterioration of ma- chines and machine-health-dependent production rates, are explicitly modeled in the proposed dynamic dispatching and preventive maintenance (DDPM) model. Although the DDPM model is developed using Markov decision processes, it is equally effective in non-Markovian production environments. The per- formance of the DDPM model is validated in Markovian and non-Markovian production environments. Compared with several methods from the literature, simulation results show an improvement of at least 45.2% in average job waiting times and a minimum reduction of 48.9% in average machine downtimes. The comparison results between the optimal dynamic dispatching policies with and without coordinated preventive maintenance show that performance improvement can be mostly attributed to the coordina- tion between preventive maintenance and dispatching decisions.