Showing papers by "HEC Montréal published in 2014"
TL;DR: A review of recent research on green road freight transportation is provided to provide an understanding of vehicle emission models and their inclusion into the existing optimization methods.
600 citations
TL;DR: A comprehensive review of inventory-routing problem literature is provided, based on a new classification of the problem, which categorizes IRPs with respect to their structural variants and the availability of information on customer demand.
Abstract: The inventory-routing problem (IRP) dates back 30 years. It can be described as the combination of vehicle-routing and inventory management problems, in which a supplier has to deliver products to a number of geographically dispersed customers, subject to side constraints. It provides integrated logistics solutions by simultaneously optimizing inventory management, vehicle routing, and delivery scheduling. Some exact algorithms and several powerful metaheuristic and matheuristic approaches have been developed for this class of problems, especially in recent years. The purpose of this article is to provide a comprehensive review of this literature, based on a new classification of the problem. We categorize IRPs with respect to their structural variants and the availability of information on customer demand.
522 citations
TL;DR: An adaptive large neighborhood search algorithm (ALNS), combined with a speed optimization procedure, to solve the bi-objective PRP and shows that HM is highly effective in finding good-quality non-dominated solutions on PRP instances with 100 nodes.
363 citations
TL;DR: In this article, the authors examine the socioemotional wealth concept and the challenges it poses for researchers, and propose some conceptual and methodological notions for increasing its utility, and examine how to improve the utility of the concept.
Abstract: There have appeared of late numerous important articles elaborating on and researching the concept of socioemotional wealth, within the last year in Entrepreneurship Theory and Practice, others published in journals ranging from Administrative Science Quarterly to Family Business Review. Given the increasing popularity and generality of the concept, it is perhaps worth revisiting it to assess its potential for enhancing our understanding of family firms. We shall examine the socioemotional wealth concept and the challenges it poses for researchers, and propose some conceptual and methodological notions for increasing its utility.
346 citations
TL;DR: In this paper, the authors analyzed macro-level determinants of national rates of formal versus informal entrepreneurship and provided empirically-testable, higher-order determinants: economic opportunities, quality of governance, macrolevel resources and abilities, performance-based culture and socially supportive culture.
279 citations
TL;DR: The present paper reports on the results related to the distance matrix of a graph and its spectral properties.
233 citations
TL;DR: The paper surveys the literature on cooperative advertising in marketing channels (supply chains) using game theoretic methods and finds that this literature has expanded considerably and has studied static as well as dynamic settings.
220 citations
TL;DR: In this paper, the authors introduced the fleet size and mix pollution-routing problem, which extends the pollution routing problem by considering a heterogeneous vehicle fleet and the main objective is to minimize the sum of vehicle fixed costs and routing cost, where the latter can be defined with respect to the cost of fuel and CO emissions, and driver cost.
Abstract: This paper introduces the fleet size and mix pollution-routing problem which extends the pollution-routing problem by considering a heterogeneous vehicle fleet. The main objective is to minimize the sum of vehicle fixed costs and routing cost, where the latter can be defined with respect to the cost of fuel and CO emissions, and driver cost. Solving this problem poses several methodological challenges. To this end, we have developed a powerful metaheuristic which was successfully applied to a large pool of realistic benchmark instances. Several analyses were conducted to shed light on the trade-offs between various performance indicators, including capacity utilization, fuel and emissions and costs pertaining to vehicle acquisition, fuel consumption and drivers. The analyses also quantify the benefits of using a heterogeneous fleet over a homogeneous one. Full text available at: http://www.sciencedirect.com/science/article/pii/S0191261514001623
208 citations
TL;DR: In this article, the authors consider a two-period closed-loop supply chain (CLSC) game where a remanufacturer appropriates of the returns' residual value and decides whether to exclusively manage the end-of-use product collection or to outsource it to either a retailer or a third-service provider (3P).
199 citations
TL;DR: This paper proposes two mathematical programming formulations which generalize the non-periodic train timetabling problem on a single line under a dynamic demand pattern and introduces a fast adaptive large neighborhood search (ALNS) metaheuristic, demonstrating the computational superiority of the ALNS compared with a truncated branch-and-cut algorithm.
Abstract: Railway planning is a complex activity which is usually decomposed into several stages, traditionally network design, line design, timetabling, rolling stock, and staffing. In this paper, we study the design and optimization of train timetables for a rail rapid transit (RRT) line adapted to a dynamic demand environment, which focuses on creating convenient timetables for passengers. The objective is to minimize the average passenger waiting time at the stations, thus focusing on passenger welfare. We first propose two mathematical programming formulations which generalize the non-periodic train timetabling problem on a single line under a dynamic demand pattern. We then analyze the properties of the problem before introducing a fast adaptive large neighborhood search (ALNS) metaheuristic in order to solve large instances of the problem within short computation times. The algorithm yields timetables that may not be regular or periodic, but are adjusted to a dynamic demand behavior. Through extensive computational experiments on artificial and real-world based instances, we demonstrate the computational superiority of our ALNS compared with a truncated branch-and-cut algorithm. The average reduction in passenger waiting times is 26%, while the computational time of our metaheuristic is less than 1% of that required by the alternative CPLEX-based algorithm. Out of 120 open instances, we obtain 84 new best known solutions and we reach the optimum on 10 out of 14 instances with known optimal solutions.
195 citations
TL;DR: This paper conducted focus groups and interviews with 38 sales executives at goods-dominant business-to-business firms to identify important potential challenges to firms attempting to make the transition to service-led growth.
TL;DR: This paper analyzes the optimal joint decisions of when, how and how much to replenish customers with products of varying ages by means of an exact branch-and-cut algorithm, and test its performance on a set of randomly generated instances.
TL;DR: The advantages of designing a timetable adapted to the demand pattern, as opposed to a regular timetable, are shown and an extensive computational comparison of all linear formulations in terms of size, solution quality and running time is performed.
TL;DR: This paper develops a solution procedure, in which feasible vehicle routes are constructed via a tabu search algorithm, and proposes a linear programming model to handle the detailed scheduling of customer visits for given routes.
TL;DR: This paper presents a new hybrid variable neighborhood-tabu search heuristic for the Vehicle Routing Problem with Multiple Time windows and proposes a minimum backward time slack algorithm applicable to a multiple time windows environment.
TL;DR: Bathelt, H., & Cohendet, P. (2014) The creation of knowledge: Local building, global accessing and economic development toward an agenda as discussed by the authors.This is a pre-copyedited, author-produced PDF of an article accepted for publication in Journal of Economic Geography following peer review.
Abstract: This is a pre-copyedited, author-produced PDF of an article accepted
for publication in Journal of Economic Geography following peer review.
The version of record [Bathelt, H., & Cohendet, P. (2014). The creation
of knowledge: Local building, global accessing and economic
development—Toward an agenda. Journal of Economic Geography, 14(5),
869-882.] is available online at:
http://joeg.oxfordjournals.org/content/14/5/869
[doi: 10.1093/jeg/lbu027].
TL;DR: In a case study of strategic planning in a cultural organization, the authors identify three forms of ambiguity embedded in the strategy text, and show how these features generate different forms of consumption among organization members.
Abstract: While the communications and strategy literatures have suggested that ambiguity embedded in texts such as strategic plans many enable the accommodation of divergent perspectives and contribute to building consensus and commitment, little is known about the consequences of such ambiguity for the consumption of strategy discourse or for the enactment of planned strategy. In a case study of strategic planning in a cultural organization, we identify three forms of ambiguity embedded in the strategy text, and show how these features generate different forms of consumption among organization members. We find that strategic ambiguity initially plays an enabling role as participants engage in enacting their respective interpretations of strategy. However, over time, the mobilizing effects of strategic ambiguity lead to internal contradiction and overextension. The study contributes by exploring empirically the double-edged nature of strategic ambiguity, and by identifying the underlying mechanisms by which its paradoxical consequences emerge. We show that while ambiguous strategy discourse enables strategic development and change, it may contain the seeds of its own dissolution contributing to cyclical patterns of strategy development and reorientation.
TL;DR: In this paper, a single worker allocates her time among different projects which are progressively assigned, and when the worker works on too many projects at the same time, the output rate decreases and completion time increases according to a law which is derived.
Abstract: A single worker allocates her time among different projects which are progressively assigned. When the worker works on too many projects at the same time, the output rate decreases and completion time increases according to a law which we derive. We call this phenomenon “task juggling” and argue that it is pervasive in the workplace. We show that task juggling is a strategic substitute of worker effort. We then present a model where task juggling is the result of lobbying by clients, or coworkers, each seeking to get the worker to apply effort to his project ahead of the others’. (JEL J22, M12, M54)
TL;DR: This paper provides an exact formulation of the proposed model for the IRP which includes several well-known valid inequalities for some classes of IRPs and proposes three new valid inequalities based on the relation between demand and available capacities.
TL;DR: In this paper, an extension of the random forest (RF) method to the case of clustered data is presented, which is implemented using a standard RF algorithm within the framework of the expectation-maximization algorithm.
Abstract: This paper presents an extension of the random forest (RF) method to the case of clustered data. The proposed ‘mixed-effects random forest’ (MERF) is implemented using a standard RF algorithm within the framework of the expectation–maximization algorithm. Simulation results show that the proposed MERF method provides substantial improvements over standard RF when the random effects are non-negligible. The use of the method is illustrated to predict the first-week box office revenues of movies.
TL;DR: An integer programming formulation for the SBRP-DI is presented, together with valid inequalities adapted from constraints derived in the context of other routing problems and a Benders decomposition scheme.
Abstract: This paper studies a vehicle routing problem with time-dependent and stochastic travel times. In our problem setting, customers have soft time windows. A mathematical model is used in which both efficiency for service as well as reliability for customers are taken into account. Depending on whether service times are included or not, we consider two versions of this problem. Two metaheuristics are built: a Tabu Search and an Adaptive Large Neighborhood Search. We carry out our experiments for well-known problem instances and perform comprehensive analyses on the numerical results in terms of the computational time and the solution quality. Experiments confirm that the proposed procedure is effective to obtain very good solutions to be performed in real-life environment.
TL;DR: In this article, the authors proposed a post-hoc predictive typology of e-satisfaction based on four dimensions of online service quality: involved, browsing, fun seekers, careful and surfers.
TL;DR: The results show that, as theorized, implicit and explicit constructs interact together, and thus have a nonlinear effect on behavioral beliefs, including demonstration of the importance of emotional perceptions for moderating the effects of neurophysiological states on Behavioral beliefs.
Abstract: Behavioral beliefs—perceived usefulness and perceived ease of use—have been identified as the most influential antecedents of individuals' information systems use intentions and behaviors within the technology acceptance model. However, little research has been aimed at investigating the implicit (automatic or unconscious) determinants of such cognitive beliefs, and more importantly, the potential nonlinear relationships of such antecedents with explicit (perceptual) ones. As such, this paper theorizes that implicit neurophysiological states—memory load and distraction— and explicit—engagement and frustration—antecedents interact in the formation of perceived usefulness and perceived ease of use. To test the study's hypotheses, we conducted an experiment that measured neurophysiological states while individuals worked on instrumental and hedonic tasks using technology. The results show that, as theorized, implicit and explicit constructs interact together, and thus have a nonlinear effect on behavioral be...
TL;DR: In this article, the authors rely on set-theoretic methods and a large international dataset of 1,060 multinational companies to explore theoretically and empirically some of the complementarities, costs and contingencies likely to arise in stakeholder management.
Abstract: Instrumental stakeholder theory has largely emphasized the positive effects of investing in stakeholder cooperative relationships in an additive, lineal fashion in the sense that the more investments the better. Yet investing in stakeholders can be very costly and the effects of these investments in firm performance are subject to complex internal complementarities and external contingencies. In this article we rely on set-theoretic methods and a large international dataset of 1,060 multinational companies to explore theoretically and empirically some of the complementarities, costs and contingencies likely to arise in stakeholder management.
TL;DR: In this article, the authors developed and explained the concept of regulatory scripts, defined as the practices shared by a group of organizations in an industry in response to international frameworks and standards, which they call "institutional expectations".
TL;DR: Investigating neurophysiological correlates of cognitive absorption in the context of enactive learning, specifically simulation-based training on the use of enterprise resource planning (ERP) software, finds that cognitive absorption was positively related to a more relaxed, less vigilant state.
TL;DR: It is shown that it is possible to take advantage of stochastic information to generate better solutions albeit at the expense of more computing time, and that ensuring consistent solutions over time increases the cost of the solutions much more under a dynamic environment than in a static setting.
TL;DR: In this article, the role of flow in work teams was investigated by testing the relationships between this psychological state, team goal commitment and team performance. And the results showed that the flow experience is positively related to team performance and that managers should implement interventions fostering the flow experiences in their teams, while at the same time encouraging information exchange between members.
Abstract: While a number of studies show that the flow experience is related to different outcomes at the individual level, the role of flow in work teams remains unclear. This study contributes to the advancement of knowledge on flow by testing the relationships between this psychological state, team goal commitment and team performance. Data were gathered from 85 teams comprised of graduate and undergraduate students who participated in a project management simulation. The results show that the flow experience is positively related to team performance. This relationship is mediated by team goal commitment and moderated by the level of information exchange between team members. In practical terms, the results of this study show that managers should implement interventions fostering the flow experience in their teams, while at the same time encouraging information exchange between members.
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TL;DR: In this paper, it is argued that epistemic communities dynamically shape the process of knowledge creation in a localized context and how the evolving interaction between different members of these communities enables knowledge to transit from its locus of emergence to the global market.
Abstract: This article aims to clarify how epistemic communities dynamically shape the process of knowledge creation in a localized context and how the evolving interaction between different members of these communities enables knowledge to transit from its locus of emergence to the global market. It is argued that these dynamics rest on a series of clashes between different frames of reference, which enables bits of knowledge to be progressively revealed, enhanced, nurtured, interpreted and enacted collectively.