Integrating production scheduling, maintenance planning and energy controlling for the sustainable manufacturing systems under TOU tariff

2019 ◽  
Vol 71 (11) ◽  
pp. 1760-1779 ◽  
Author(s):  
Weiwei Cui ◽  
Huali Sun ◽  
Beixin Xia
2013 ◽  
Vol 572 ◽  
pp. 235-238
Author(s):  
Soumia Ichoua ◽  
Agnes Pechmann

In this paper we investigate the elaboration of an efficient production schedule for sustainable manufacturing systems. Because renewable energies are irregular by nature as they often depend on meteorological conditions (e.g. wind and solar energy), their use in the competitive field of manufacturing production must be addressed with caution. The challenge is to elaborate a reliable production schedule that accommodates energy stochastic fluctuations while satisfying customer and operational constraints. We propose to solve the problem using a meta-heuristic based on Tabu search and discuss major elements that are critical to the success of this approach.


2020 ◽  
Vol 37 (6/7) ◽  
pp. 925-937
Author(s):  
Ahmet Kolus ◽  
Ahmed El-Khalifa ◽  
Umar M. Al-Turki ◽  
Salih Osman Duffuaa

PurposeThe integration between production scheduling and maintenance planning is attracting the attention of planners in the manufacturing sector with the increase in global competitiveness. Researchers have developed various methodologies to optimize integrated decisions in planning and scheduling, including mathematical modeling under different conditions. This paper considers the simultaneous scheduling of production and maintenance activities with the objective of minimizing the expected total tardiness cost on a single machine (production line).Design/methodology/approachScheduling in these two types of activities, production and maintenance, are traditionally done independently, causing conflicts between the two functional areas. To eliminate or at least reduce conflicts, the scheduling of both activities can be done simultaneously with the objective of meeting due dates and maintaining maximum machine availability. In this paper, a mathematical model for an integrated problem is developed and demonstrated by an example.FindingsThe proposed integrated model shows a high potential for significant improvements in performance with respect to the cost of tardiness in delivery and machine availability. This is demonstrated by an example showing an average savings of approximately 40%.Originality/valueThis substantial saving is owed to the integration of two important decision-making processes in manufacturing systems. Although the integrated problem is complex and difficult to solve, the fact that it is savings driven makes the problem of interest to researchers and practitioners in manufacturing.


2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Amirreza Hooshyar Telegraphi ◽  
Akif Asil Bulgak

AbstractDue to the stringent awareness toward the preservation and resuscitation of natural resources and the potential economic benefits, designing sustainable manufacturing enterprises has become a critical issue in recent years. This presents different challenges in coordinating the activities inside the manufacturing systems with the entire closed-loop supply chain. In this paper, a mixed-integer mathematical model for designing a hybrid-manufacturing-remanufacturing system in a closed-loop supply chain is presented. Noteworthy, the operational planning of a cellular hybrid manufacturing-remanufacturing system is coordinated with the tactical planning of a closed-loop supply chain. To improve the flexibility and reliability in the cellular hybrid manufacturing-remanufacturing system, alternative process routings and contingency process routings are considered. The mathematical model in this paper, to the best of our knowledge, is the first integrated model in the design of hybrid cellular manufacturing systems which considers main and contingency process routings as well as reliability of the manufacturing system.


2019 ◽  
Vol 9 (11) ◽  
pp. 2264
Author(s):  
Gökan May ◽  
Dimitris Kiritsis

With the advent of disruptive digital technologies, companies are facing unprecedented challenges and opportunities [...]


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jianfei Ye ◽  
Huimin Ma

In order to solve the joint optimization of production scheduling and maintenance planning problem in the flexible job-shop, a multiobjective joint optimization model considering the maximum completion time and maintenance costs per unit time is established based on the concept of flexible job-shop and preventive maintenance. A weighted sum method is adopted to eliminate the index dimension. In addition, a double-coded genetic algorithm is designed according to the problem characteristics. The best result under the circumstances of joint decision-making is obtained through multiple simulation experiments, which proves the validity of the algorithm. We can prove the superiority of joint optimization model by comparing the result of joint decision-making project with the result of independent decision-making project under fixed preventive maintenance period. This study will enrich and expand the theoretical framework and analytical methods of this problem; it provides a scientific decision analysis method for enterprise to make production plan and maintenance plan.


CIRP Annals ◽  
1982 ◽  
Vol 31 (1) ◽  
pp. 319-322 ◽  
Author(s):  
K. Iwata ◽  
A. Murotsu ◽  
F. Oba ◽  
K. Yasuda ◽  
K. Okamura

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