A sample average approximation method for disassembly line balancing problem under uncertainty

Bentaha, Mohand Lounes; Battaïa, Olga; Dolgui, Alexandre

doi:10.1016/j.cor.2014.05.006

Cited by 126 publications

(47 citation statements)

References 29 publications

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“…Avikal et al [70] proposed a Kano model, FAHP, and modified TOPSIS based technique to solve the DLBP under fuzzy environment. Further, Bentaha et al [71] presented a sample average approximation method for DLBP under uncertainty. Many literatures considered the uncertainties in disassembly line balancing problem.…”

Section: Disassembly Line Balancingmentioning

confidence: 99%

A systematic review of environmentally conscious product design

Li¹,

Gómez²,

Pehlken³

2015

Advances in Computer Science Research

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Abstract-Recently environmentally conscious product design (ECPD) is highlighted by research community, because of the global conscious about low carbon emission and sustainable development. ECPD cares about the environmental, social and economic impacts of products during their life cycle phases, with the destination to achieve product life cycle design for sustainability. Furthermore, information and communication technologies are important for the implementation of computer-aided eco-design. The theories, methods, software tools about ECPD during 2005 to 2015 were reviewed in this work. Five most related aspects including product eco-design, design for disassembly (DFD), design for recycling (DFR), material selection (MS), and eco-design software tools were analyzed as related categories. Eco-impact assessment was found to be a pre-step in ECPD followed by product eco-innovation. DFD, DFR, and MS helped to improve the energy efficiency and eco-friendliness of products. Eco-design software tools are focusing on CAD-integration, web-based and knowledge base-based characteristics. More eco-design software tools will be developed in specific industries and to handling products with composite materials.Keywords-product eco-design; design for sustainability (D4S); eco-design software tools; state-of-the-art; eco-friendly produts

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Section: Disassembly Line Balancingmentioning

confidence: 99%

A systematic review of environmentally conscious product design

Li¹,

Gómez²,

Pehlken³

2015

Advances in Computer Science Research

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“…There are two types of such graphs: AND/OR graphs constituted of tasks and AND/OR graphs constituted of tasks and subassemblies. The first type is considered in (Altekin & Akkan, 2012;Altekin, Kandiller, & Ozdemirel, 2008;Güngör & Gupta, 2001, 2002, the second in (Bentaha et al, 2014a(Bentaha et al, , 2014b(Bentaha et al, , 2014c(Bentaha et al, , 2014dKoc, Sabuncuoglu, & Erel, 2009;Lambert, 1999). The latter which includes an explicit representation of subassemblies as well as tasks, is used in this paper.…”

Section: Disassembly Line Design and Balancingmentioning

confidence: 99%

“…In Bentaha, Battaïa, and Dolgui (2014a), uncertainty was modeled using the notion of recourse cost and a sample average approximation method was developed to solve the studied optimization problem. In Bentaha, Battaïa, Dolgui, and Hu (2014d), uncertainty was modeled using workstation expectation times.…”

Section: Disassembly Line Design and Balancingmentioning

confidence: 99%

Second order conic approximation for disassembly line design with joint probabilistic constraints

Bentaha

Battaïa

Dolgui

et al. 2015

European Journal of Operational Research

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a b s t r a c tA problem of profit oriented disassembly line design and balancing with possible partial disassembly and presence of hazardous parts is studied. The objective is to design a production line providing a maximal revenue with balanced workload. Task times are assumed to be random variables with known normal probability distributions. The cycle time constraints are to be jointly satisfied with at least a predetermined probability level. An AND/OR graph is used to model the precedence relationships among tasks. Several lower and upper-bounding schemes are developed using second order cone programming and convex piecewise linear approximation. To show the relevance and applicability of the proposed approach, a set of instances from the literature are solved to optimality.

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“…SAA does not only provide a solution, it also assesses the solution quality. Both lower and upper bounds to the objective of the stochastic program with corresponding optimality gap and confidence intervals are provided [5]. We follow the SAA method as proposed in [1,5,20], and refer to them for an in-depth description of this algorithm.…”

Section: Sample Average Approximation Algorithmmentioning

confidence: 99%

Stochastic integer programming for multi-disciplinary outpatient clinic planning

Leeftink

Vliegen

Hans

2017

Health Care Manag Sci

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Scheduling appointments in a multi-disciplinary clinic is complex, since coordination between disciplines is required. The design of a blueprint schedule for a multidisciplinary clinic with open access requirements requires an integrated optimization approach, in which all appointment schedules are jointly optimized. As this currently is an open question in the literature, our research is the first to address this problem. This research is motivated by a Dutch hospital, which uses a multi-disciplinary cancer clinic to communicate the diagnosis and to explain the treatment plan to their patients. Furthermore, also regular patients are seen by the clinicians. All involved clinicians therefore require a blueprint schedule, in which multiple patient types can be scheduled. We design these blueprint schedules by optimizing the patient waiting time, clinician idle time, and clinician overtime. As scheduling decisions at multiple time intervals are involved, and patient routing is stochastic, we model this system as a stochastic integer program. The stochastic integer program is adapted for and solved with a sample Numerical experiments evaluate the performance of the sample average approximation approach. We test the suitability of the approach for the hospital's problem at hand, compare our results with the current hospital schedules, and present the associated savings. Using this approach, robust blueprint schedules can be found for a multi-disciplinary clinic of the Dutch hospital.

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A sample average approximation method for disassembly line balancing problem under uncertainty

Cited by 126 publications

References 29 publications

A systematic review of environmentally conscious product design

A systematic review of environmentally conscious product design

Second order conic approximation for disassembly line design with joint probabilistic constraints

Stochastic integer programming for multi-disciplinary outpatient clinic planning

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