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Now showing items 1 - 16 of 128

  • Review of quantitative methods for supply chain resilience analysis

    Hosseini, Seyedmohsen   Ivanov, Dmitry   Dolgui, Alexandre  

    Supply chain resilience (SCR) manifests when the network is capable to withstand, adapt, and recover from disruptions to meet customer demand and ensure performance. This paper conceptualizes and comprehensively presents a systematic review of the recent literature on quantitative modeling the SCR while distinctively pertaining it to the original concept of resilience capacity. Decision-makers and researchers can benefit from our survey since it introduces a structured analysis and recommendations as to which quantitative methods can be used at different levels of capacity resilience. Finally, the gaps and limitations of existing SCR literature are identified and future research opportunities are suggested.
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  • Ripple effect in the supply chain: an analysis and recent literature

    Dolgui, Alexandre   Ivanov, Dmitry   Sokolov, Boris  

    In this study, the ripple effect in the supply chain is analysed. Ripple effect describes the impact of a disruption propagation on supply chain performance and disruption-based scope of changes in supply chain structural design and planning parameters. We delineate major features of the ripple effect as compared to the bullwhip effect. Subsequently, we review recent quantitative literature that tackled the ripple effect explicitly or implicitly and give our vision of the state of the art and perspectives. The literature is classified into mathematical optimisation, simulation, control theoretic and complexity and reliability research. We observe the reasons and mitigation strategies for the ripple effect in the supply chain and present the ripple effect control framework that includes redundancy, flexibility and resilience analysis. Even though a variety of valuable insights has been developed in the said area in recent years, some crucial research avenues have been identified for the near future.
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  • Optimal workforce assignment to operations of a paced assembly line

    Dolgui, Alexandre   Kovalev, Sergey   Kovalyov, Mikhail Y.   Malyutin, Sergey   Soukhal, Ameur  

    We study a paced assembly line intended for manufacturing different products. Workers with identical skills perform non-preemptable operations whose assignment to stations is known. Operations assigned to the same station are executed sequentially, and they should follow the given precedence relations. Operations assigned to different stations can be performed in parallel. The operation's processing time depends on the number of workers performing this operation. The problem consists in assigning workers to operations such that the maximal number of workers employed simultaneously in the assembly line is minimized, the line cycle time is not exceeded and the box constraints specifying the possible number of workers for each operation are not violated. We show that the general problem is NP-hard in the strong sense, develop conventional and randomized heuristics, propose a reduction to a series of feasibility problems, present a MILP model for the feasibility problem, show relation of the feasibility problem to multi-mode project scheduling and multiprocessor scheduling, establish computational complexity of several special cases based on this relation and provide computer experiments with real and simulated data. (C) 2017 Elsevier B.V. All rights reserved.
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  • Hybrid Fuzzy-Probabilistic Approach to Supply Chain Resilience Assessment

    Pavlov, Alexander   Ivanov, Dmitry   Dolgui, Alexandre   Sokolov, Boris  

    In this paper, the existing models of supply chain resilience assessment are extended by incorporating ripple effect and structure reconfiguration. Ripple effect mitigation control is vital for supply chain risk management from positions of structural resilience and recoverability. The research approach is based on a hybrid fuzzy-probabilistic approach. The genome method is applied with the objective of including the structural properties of supply chain design into resilience assessment. A supply chain design resilience index is developed, and its computation and application are demonstrated. The results suggest a method of comparing different supply chain designs regarding the resilience both to disruption propagation and with recovery consideration. It also allows the identification of groups of critical suppliers whose failure interrupts supply chain operation.
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  • Review of quantitative methods for supply chain resilience analysis

    Hosseini, Seyedmohsen   Ivanov, Dmitry   Dolgui, Alexandre  

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  • Selected surveys on cutting edge problems in Production Research

    Dolgui, Alexandre  

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  • Simple paths with exact and forbidden lengths

    Dolgui, Alexandre   Kovalyov, Mikhail Y.   Quilliot, Alain  

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  • Minimizing the number of workers in a paced mixed-model assembly line

    Delorme, Xavier   Dolgui, Alexandre   Kovalev, Sergey   Kovalyov, Mikhail Y.  

    We study a problem of minimizing the maximum number of identical workers over all cycles of a paced assembly line comprised of m stations and executing n parts of k types. There are lower and upper bounds on the workforce requirements and the cycle time constraints. We show that this problem is equivalent to the same problem without the cycle time constraints and with fixed workforce requirements. We prove that the problem is NP-hard in the strong sense if m =3D 4 and the workforce requirements are station independent, and present an Integer Linear Programming model, an enumeration algorithm and a dynamic programming algorithm. Polynomial in k and polynomial in n algorithms for special cases with two part types or two stations are also given. Relations to the Bottleneck Traveling Salesman Problem and its generalizations are discussed. (C) 2018 Elsevier B.V. All rights reserved.
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  • Ripple effect in the supply chain: an analysis and recent literature

    Dolgui, Alexandre   Ivanov, Dmitry   Sokolov, Boris  

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  • Some new ideas for assembly line balancing research

    Dolgui, Alexandre   Gafarov, Evgeny  

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  • Optimal workforce assignment to operations of a paced assembly line

    Dolgui, Alexandre   Kovalev, Sergey   Kovalyov, Mikhail Y.   Malyutin, Sergey   Soukhal, Ameur  

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  • Dynamic optimisation for highly agile supply chains in e-procurement context

    Chibani, Akram   Delorme, Xavier   Dolgui, Alexandre   Pierreval, Henri  

    In the conditions of an increased worldwide competition, supply chains are struggling to respond to an increasingly volatile and complex environment. With technological advances, current practices to build efficient supply chains have changed. Companies are seeking to use internet in order to cope with the flexible and dynamic nature of logistics networks. The purpose of this article is to address the flexible dynamic e-procurement context under asynchronous and repetitive variations over time. The supply chain considered is composed of two levels (buyer-suppliers) operating in highly agile environment. The questions facing the buyer is how many units of product should be purchased and from which supplier in response to variation in term of price and capacity. Because of this highly changing environment characterised by frequent changes in a short time, most of the classical optimisation approaches seem inadequate to address these problems. Recently, dynamic optimisation has been proposed to deal with such problems. However, we have no knowledge of its application in a supply chain context. We suggest a dynamic genetic approach which is applied to an e-procurement context in aim to optimise the procurement process during time.
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  • Design of a Multi-agent System to Manage Relay Intercity Freighting

    Dolgui, Alexandre   Bakhtadze, Nataliya N.   Sabitov, Rustem A.   Smirnova, Gulnara S.   Sirazetdinov, Bulat R.   Sabitov, Shamil R.   Lototsky, Vladimir A.  

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  • An efficient two-phase iterative heuristic for Collection-Disassembly problem

    Habibi, M. K. Khakim   Battaia, Olga   Cung, Van-Dat   Dolgui, Alexandre  

    Closing the loop in the supply chains is one of the mandatory conditions for more sustainable development. The Collection-Disassembly Problem appears in the reverse part of the closed-loop supply chains. Its aim is to coordinate the activities of collection of end-of-life products from collection centres and their subsequent disassembly. The disassembly step is required for efficient remanufacturing and recycling of returned products. The Collection-Disassembly problem integrates such optimization problems as dynamic lot-sizing and vehicle routing in general cases. In this paper, we develop a Two-Phase Iterative Heuristic to efficiently address large size instances. The numerical tests show that the heuristic provides good solutions under acceptable computational time. (C) 2017 Elsevier Ltd. All rights reserved.
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  • Optimizing Series-Parallel Execution of Intersecting Blocks of Operations

    Dolgui, Alexandre   Levin, Genrikh   Rozin, Boris  

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  • An exact optimization approach for a transfer line reconfiguration problem

    Makssoud, Fatme   Battaia, Olga   Dolgui, Alexandre  

    The paper deals with a transfer line reconfiguration problem. Such lines are made of machines (workstations) located in sequence and linked by a material handling device. Each machine can be equipped with several multi-spindle heads activated sequentially. Each spindle head executes a set of operations simultaneously. If new products have to be manufactured at the line or existing products are modified, then the line has to be reconfigured in order to meet new production requirements. The objective of such reconfiguration is to reduce the investment cost for new equipment by reusing optimally the existing facilities. A new mathematical model is suggested for this optimization problem. A case study is presented to demonstrate the use of the developed optimization model. The results of numerical experiments for 41 industrial test problems are also analyzed which show that up to 51 % investment savings can be obtained with this model.
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