Multi-level lot sizing and job shop scheduling with compressible process times: A cutting plane approach

Karimi-Nasab, M.; Seyedhoseini, S. M.

doi:10.1016/j.ejor.2013.06.021

Cited by 39 publications

(18 citation statements)

References 85 publications

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“…They also used queuing theory to present a stochastic model for the system. Also, some production-inventory papers in the literature assumed that the lead time is negligible or it can be ignored in practice when it is short in contrast to other time factors (Karimi-Nasab and Seyedhoseini 2013). Most of such research papers did not consider lost sales.…”

Section: Literature Reviewmentioning

confidence: 98%

Application of queuing theory in production-inventory optimization

et al. 2015

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This paper presents a mathematical model for an inventory control system in which customers' demands and suppliers' service time are considered as stochastic parameters. The proposed problem is solved through queuing theory for a single item. In this case, transitional probabilities are calculated in steady state. Afterward, the model is extended to the case of multi-item inventory systems. Then, to deal with the complexity of this problem, a new heuristic algorithm is developed. Finally, the presented bi-level inventory-queuing model is implemented as a case study in Electroestil Company.

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Section: Literature Reviewmentioning

confidence: 98%

Application of queuing theory in production-inventory optimization

et al. 2015

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“…This technique could help solve more challenging problems than the default parallel option. Karimi-Nasab and Seyedhoseini [10] solved a job shop scheduling problem by using integer linear programming formulation. The performance of cut-and-branch and branch-and-cut approaches was shown on a set of randomly-generated test data.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Genetic algorithm for short-term scheduling of make-and-pack batch production process

Wongthatsanekorn

Phruksaphanrat

2015

Chinese Journal of Chemical Engineering

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“…In modern HFS, the jobs are considering to process with bulky lot size and types to meet the market demand. Karimi and Seyedhoseini [8] inferred that the lot size may influence on group scheduling in shop floor, so a cutting plane approach was proposed. Apart from this many evolutionary approaches were developed to optimize the flow parameters.…”

Section: Introductionmentioning

confidence: 99%

A Heuristic for Group Scheduling the Multi-stage Hybrid Flow Shop Problems

Issac¹,

Saravanan²,

Pugazhenthi³

et al. 2016

BIJIEMS

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According to the practical relevance, the Hybrid Flow Shop (HFS) has attracted many researchers recently. This paper addresses a special case of group scheduling problem in a multi-stage HFS with optimization of throughput related objectives. The aim of the work is to simplify the solution procedure through a heuristic approach to reach the optimal solution, i.e., minimal makespan with optimal flow parameters. The heuristic solution was tested with all possible group schedules encountered in the HFS problem to ensure the compatibility of the optimal solution and its consistency with the throughputs. The throughput related measures other than makespan such as queue status and machine utilization were considered to evaluate the performance of the heuristic. The heuristic performs well to reach the optimal solution with minimal makespan and queue status with effective machine utilization. A case study was done in a pulley manufacturing plant and a global solution was suggested.

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Multi-level lot sizing and job shop scheduling with compressible process times: A cutting plane approach

Cited by 39 publications

References 85 publications

Application of queuing theory in production-inventory optimization

Application of queuing theory in production-inventory optimization

Genetic algorithm for short-term scheduling of make-and-pack batch production process

A Heuristic for Group Scheduling the Multi-stage Hybrid Flow Shop Problems

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