Optimizing electricity costs during integrated scheduling of jobs and stochastic preventive maintenanceunder time-of-use electricity tariffs

• Autorzy: Sadiqi Assia , El Abbassi Ikram , El Barkany Abdellah , Darcherif Moumen , El Biyaali Ahmed

Identyfikatory

DOI

10.24425/mper.2019.131452

• Języki publikacji: EN

Abstrakty

EN

Time-of-use (TOU) electricity pricing has been applied in many countries around the world to encourage manufacturers to reduce their electricity consumption from peak periods to off-peak periods. This paper investigates a new model of Optimizing Electricity costs during Integrated Scheduling of Jobs and Stochastic Preventive Maintenance under time of-use (TOU) electricity pricing scheme in unrelated parallel machine, in which the electricity price varies throughout a day. The problem lies in assigning a group of jobs, the flexible intervals of preventive maintenance to a set of unrelated parallel machines and then scheduling of jobs and flexible preventive maintenance on each separate machine so as to minimize the total electricity cost. We build an improved continuous-time mixed-integer linear programming (MILP) model for the problem. To the best of our knowledge, no papers considering both production scheduling and Stochastic Preventive Maintenance under time of-use (TOU) electricity pricing scheme with minimization total Electricity costs in unrelated parallel machine. To evaluate the performance of this model, computational experiments are presented, and numerical results are given using the software CPLEX and MATLAB with then discussed.

Słowa kluczowe

EN

scheduling; production; maintenance; electricity cost; time; electricity tariff; stochastic; flexible; MILP; optimization; modeling; CPLEX; MATLAB

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2019
• Tom: Vol. 10, No. 4
• Strony: 123--132
• Opis fizyczny: Bibliogr. 10 poz., tab., wykr.

Twórcy

autor

Sadiqi Assia

• Mechanical Engineering Laboratory, Faculty of Science and Techniques, Sidi Mohammed Ben Abdellah University, B.P. 2202 – Route d’Imouzzer – Fez, Morocco
• ECAM-EPMI, Research Laboratory in Industrial Eco-innovation and Energetics Quartz-Lab, Cergy-Pontoise, Franc

autor

El Abbassi Ikram

• ECAM-EPMI, Research Laboratory in Industrial Eco-innovation and Energetics Quartz-Lab, Cergy-Pontoise, Franc

autor

El Barkany Abdellah

• Mechanical Engineering Laboratory, Faculty of Science and Techniques, Sidi Mohammed Ben Abdellah University, Morocco

autor

Darcherif Moumen

• ECAM-EPMI, Research Laboratory in Industrial Eco-innovation and Energetics Quartz-Lab, Cergy-Pontoise, Franc

autor

El Biyaali Ahmed

• Mechanical Engineering Laboratory, Faculty of Science and Techniques, Sidi Mohammed Ben Abdellah University, Morocco

Bibliografia

• [1] Tacconi L., Biodiversity and ecological economics: participation, values and resource management, Biol. Conserv., 107, 259–260, 2000.
• [2] Park C.W., Kwon K.S., Kim W.B., Min B.K., Park S.J., Sung I.H., Yoon Y.S., Lee K.S., Lee J.H., Seok J., Energy consumption reduction technology in manufacturing d a selective review of policies, standards, and research, Int. J. Precis. Eng. Manuf., 10, 151–173, 2009.
• [3] Moon J.Y., Shin K., Park J., Optimization of production scheduling with timedependent and machine-dependent electricity cost for industrial energy efficiency, Int. J. Adv. Manuf. Technol., 68, 523–535, 2013.
• [4] Ding J.Y., Song S., Zhang R., Chiong R., Parallel machine scheduling under time-of-use electricity prices: new models and optimization approaches, IEEE Trans. Autom. Sci. Eng., 13, 2, 1138–1154, 2016.
• [5] Zeng Y., Che A., Wu X., Bi-objective scheduling on uniform parallel machines considering electricity cost, Eng. Optim., http://dx.doi.org/10.1080/0305215X.2017.1296437, published online, 2017.
• [6] Ada Che, Shibohua Zhang, Xueqi Wu, Energyconscious unrelated parallel machine scheduling under time-of-use electricity tariffs, Journal of Cleaner Production, 156, 688–697, 2017.
• [7] Sadiqi A. et al., Joint Scheduling of Jobs and Variable Maintenance Activities in the Flowshop Sequencing Problems: Review, Classification and Opportunities, International Journal of Engineering Research in Africa, 39, 170–190, 2018.
• [8] Sadiqi A., El Abbassi I., El Barkany A., El Biyaali A., Comparative analysis the simultaneous scheduling problems of production and maintenance activities, Indexed SCOPUS, IEEE Xplore, 10.1109, LOGISTIQUA, 2018.8428283. April 2018.
• [9] Sadiqi A., El Abbassi I., El Barkany A., El Biyaali A., Non-permutation flow shop scheduling problems with unavailability constraints to minimize total energy consumption, Indexed SCOPUS, IEEE Xplore, 10.1109/ICOA.2019.8727649, April 2019.
• [10] Baker K.R., Keller B., Solving the single-machine sequencing problem using integer programming, Computers & Industrial Engineering, 59, 4, 730–735, 2010.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).