Constraint based reactive rescheduling in a stochastic environment

Spragg, J.; Fozzard, G.; Tyler, David

doi:10.1007/3-540-63912-8_102

Cited by 10 publications

(5 citation statements)

References 6 publications

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“…As part of this business process, tasks are assigned to employees according to the level of skills they possess [24]. Clothing is manufactured on a continuous production line in which pieces of material are consecutively passed through a network of workstations where skilled manual workers connect the forwarded pieces using a sewing machine, whereby active involvement of the employee in this process can be observed [25,26]. During this process, the speed of the component assembly process should be strictly controlled [27].…”

Section: Creative and Labor-intensive Character Of Apparel Industry Pmentioning

confidence: 99%

Managing the creative and labor-intensive business processes of the apparel industry

Dobrosavljević¹

2019

Tekstilna industrija

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Creative and labor-intensive character are the specifi cities of the garment industry that arise from the activities that take place within the process, primarily related to apparel manufacturing. The consideration of the problems of managing creative and labor-intensive processes in the framework of this paper is approached considering that the clothing industry is characterized by a number of diff erent specifi cities. The factors that infl uence the adoption of business process management practices in accordance with these specifi cs have diff erent eff ects on the optimal management of these business processes. Therefore, this paper describes the links between the factors infl uencing the adoption of business process management practices and the creative and labor-intensive processes of the clothing industry and establishes a theoretical basis for further study of this issue.Apstrakt: Kreativni i radno-intenzivni karakter predstavljaju specifi čnosti odevne industrije koje proističu iz aktivnosti koje se odvijaju u okviru procesa, prevashodno vezanih za proizvodnju odeće. Razmatranju problematike upravljanja kreativnim i radno-intenzivnim procesima u okviru ovog rada se pristupa uzimajući u obzir to da odevnu industriju odlikuje niz različitih specifi čnosti. Faktori od uticaja na usvojenost prakse upravljanja poslovnim procesima u skladu sa tim specifi čnostima ostvaruju različiti uticaj na optimalno upravljanje ovim poslovnim procesima. Stoga se u okviru ovog rada se opisuju veze između faktora od uticaja na usvojenost prakse upravljanja poslovnim procesima i kreativnih i radno-intenzivnih procesa odevne industrije i uspostavlja teorijska osnova za dalja proučavanja ove problematike.Ključne reči: upravljanje poslovnim procesima, kreativni procesi, radno intenzivni procesi, odevna industrija.Stručni rad UDC: 678:005.93

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Section: Creative and Labor-intensive Character Of Apparel Industry Pmentioning

confidence: 99%

Managing the creative and labor-intensive business processes of the apparel industry

Dobrosavljević¹

2019

Tekstilna industrija

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“…Miyashita et al [14] achieve the incremental accumulation and reuse of past experience through case-based reasoning, whereas constraint-based scheduling has been used for the propagation and resolution of the effect of repair. Spragg et al [16] used constraint based reactive rescheduling, which involves periodic schedule repair, based upon reassignment heuristics, supported by partial order backtracking, to maintain line balance which may be disrupted by workers absence or machines breakdown. [17] provided a review of using constraint satisfaction processing (CSP) technology for scheduling in job shop environment.…”

Section: Incremental Temporal Reasoning In Job Shop Scheduling Repairmentioning

confidence: 99%

Incremental temporal reasoning in job shop scheduling repair

Huang

Liu

Williams³

et al. 2010

2010 IEEE International Conference on Industrial Engineering and Engineering Management

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A working predictive schedule can be useless because of the various external or internal disruptions in a job shop. Total rescheduling may cause problems such as shop floor nervousness. Thus, the job shop scheduling repair (recovery) approach aims at generating a solution satisfying the updated constraints and making deviations minimized. We propose an incremental temporal reasoning approach in this paper to solve job shop scheduling repair problems. Specifically, such a problem is formulated as a disjunctive temporal problem (DTP), framed as an optimal constraint satisfaction problem (OCSP) formally, and finally solved by performing an algorithm integrating incremental temporal consistency and efficient candidate generation. Through involving human interactive mechanism, domain experts can make higher quality decisions by balancing makespan and deviations.Keywords -Job shop scheduling repair (recovery), incremental temporal reasoning, disjunctive temporal problems, optimal constraint satisfaction problems, constraint-based scheduling 978-1-4244-8503-1/10/$26.00 ©2010 IEEE Proceedings of the 2010 IEEE IEEM

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“…Knowledge‐based and artificial intelligence approaches have also been proposed for rescheduling, including case‐based reasoning,21, 22 constraint‐based scheduling,23, 24 fuzzy logic,25, 26 and neural networks 27, 28, 29. The relative advantages and disadvantages of these methods are summarized by Subramaniam and Raheja 30…”

Section: Uncertainties and Disruptions In Supply Chain Management: A mentioning

confidence: 99%

Heuristic rescheduling of crude oil operations to manage abnormal supply chain events

2007

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in Wiley InterScience (www.interscience.wiley.com).Globalization and the resultant complexity of today's supply chains require that enterprises be agile and proactive. This communication looks at a refinery supply chain where disruptions such as crude arrival delay could make the current schedule infeasible and necessitate rescheduling of operations. Existing approaches for generating (near) optimal schedules for a real-world refinery typically require significantly large amounts of time. This is undesirable when rectification decisions need to be made in a short time. Further, when the problem data given to the existing scheduling approaches are changed, as is the case during a disruption, the optimizers follow different solution paths and result in substantially different schedules. A heuristic rescheduling strategy is proposed that overcomes both these shortcomings. The key insight exploited here is that any schedule can be broken into operation blocks. Rescheduling is performed by modifying these blocks in the original schedule using simple heuristics to generate a new schedule that is feasible for the new problem data. Our strategy avoids major operational changes by preserving-as far as possible-the blocks in the original schedule. The major advantages of the proposed method are its real-time computational performance and the minimal changes to the operations as compared to total rescheduling. Further, the proposed strategy can also identify many feasible schedules and allow refinery personnel to select one by considering other factors that cannot be adequately modeled in a scheduler. Our method is illustrated using five types of disruptions occurring in a refinery. The various factors that affect the robustness of a supply chain in the face of disruptions are also discussed.

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Constraint based reactive rescheduling in a stochastic environment

Abstract: The problem of scheduling manufacturing systems where the performance, or indeed, capacity of a production resource is subject to stochastic change, is the subject of this paper. Typical of such resources are those which are dependent upon labour intensive processes.

Cited by 10 publications

References 6 publications

Managing the creative and labor-intensive business processes of the apparel industry

Managing the creative and labor-intensive business processes of the apparel industry

Incremental temporal reasoning in job shop scheduling repair

Heuristic rescheduling of crude oil operations to manage abnormal supply chain events

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