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(searched for: doi:10.1287/mantech.3.1.1)
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, , Cui Li, Sihang Li,
International Journal of Production Research pp 1-28; https://doi.org/10.1080/00207543.2021.2008041

Abstract:
Severe environmental problems have made green scheduling an emerging research hotspot. In this paper, a permutation flow shop energy-efficient scheduling problem that considers multiple criteria is investigated. The aim is to find the optimal job processing sequence and conveyor speed that minimise both the makespan and total energy consumption. In addition to two types of common criteria, namely, machine-based criterion (i.e. sequence-dependent setup time) and energy-based criteria (including both the transportation time control strategy and machine shutdown strategy), a human-based criterion (i.e. a position-based learning effect) is introduced. A bi-objective programming model is developed, and a multi-objective iterated greedy (MOIG) is designed to reach the Pareto front of the model. Considering that there are two types of decisions in the model (i.e. job sequence and conveyor speed), two algorithm alternatives are designed based on the job sequence and conveyor speed, respectively. Meanwhile, an acceptance criterion with advantages in terms of the convergence speed and solution diversity is proposed. Existing algorithms, including NSGA-II and MOEA/D, are introduced to evaluate the performance of the MOIG. The results emphasise the efficiency of the MOIG. Overall, the model and MOIG effectively improve the green efficiency of enterprises and can reasonably control operating costs.
, Na Li, Narayanasamy Sambandam, Suresh P. Sethi,
Published: 22 October 2018
International Journal of Production Economics, Volume 206, pp 250-260; https://doi.org/10.1016/j.ijpe.2018.10.010

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Francesco Gentile, K.J. Rogers
Abstract:
Determining when order release should occur and how dispatching should be accomplished is critical to the success of a manufacturing enterprise. Although a significant amount of job shop production scheduling and control literature exists, a void with respect to order release and dispatching in a sequence dependent setup (SDS) environment remains. This research provides a comprehensive literature review of order review and release simulation based studies in job shop environments, and dispatching techniques in the SDS job shop. The literature review served as the basis for developing order release and dispatching mechanisms for the SDS job shop. The main effects and interactions of order release and dispatching mechanisms in a simulated benchmark job shop model were examined for these mechanisms and select mechanisms from the literature. Analysis of variance results demonstrated that the main effects of both order release and dispatching mechanisms are significant, as is the interaction between these variables. Simulation results also proved that the work load control machine center order release and similar setup dispatching mechanisms yielded the most favorable and robust performance results.
Joel D. Wisner
International Journal of Operations & Production Management, Volume 15, pp 25-40; https://doi.org/10.1108/01443579510090318

Abstract:
Reviews a critical aspect of job shop scheduling research, namely the decision regarding release timing of orders to the manufacturing shopfloor. Covers articles specifically addressing the order release problem; the information should prove helpful for researchers employing order release policies in their research. The release decision literature is classified into three areas: descriptive studies including case and survey research, analytical or optimization‐based research, and simulations of theoretical and empirically derived job shops. Presents tables describing the release rules and summarizing the characteristics of the simulation research. Identifies a number of topics within the order release research area in need of further investigation, including the comparison of larger sets of release rules, the use of more realistic simulation models such as the dual resource constrained job shop model, the need for further empirical identification of release policies, and the use of release policies that consider dynamic shop conditions.
A. Huthmann, B. Trefz, C. Tjiok
Published: 1 January 1990
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