Integrated production-distribution scheduling with energy considerations for efficient food supply chains

Abstract Quantitative approaches for the integration of production and distribution planning are attracting the interest of scholars and companies in recent years. They can significantly improve supply chain performance and sustainability. In this paper, we propose an optimization model for the integrated scheduling of production and distribution activities, with reference to a real-life company in the food sector. The model takes into consideration changeover times and perishability, and aims to jointly minimize energy, storage and distribution costs. Its applicability is shown through a set of computational experiments, carried out on instances generated from historical data. Two different rescheduling strategies, where the first one reproduces the current behaviour of the firm, are compared. The results show that the current practices of the company can be improved and the model is a valid tool for supporting operational business decisions.

[1]  Weiwei Cui,et al.  Integrating production scheduling, maintenance planning and energy controlling for the sustainable manufacturing systems under TOU tariff , 2020, J. Oper. Res. Soc..

[2]  H. Neil Geismar,et al.  Integrated production and distribution scheduling with a perishable product , 2017, Eur. J. Oper. Res..

[3]  G. Mirabelli,et al.  Blockchain and agricultural supply chains traceability: research trends and future challenges , 2020, Procedia Manufacturing.

[4]  Axel Tuma,et al.  Energy-efficient scheduling in manufacturing companies: A review and research framework , 2016, Eur. J. Oper. Res..

[5]  Joaquín B. Ordieres Meré,et al.  Optimizing the production scheduling of a single machine to minimize total energy consumption costs , 2014 .

[6]  Bernardo Almada-Lobo,et al.  An adaptive large neighbourhood search for the operational integrated production and distribution problem of perishable products , 2015 .

[7]  Shijin Wang,et al.  Bi-objective optimization of a single machine batch scheduling problem with energy cost consideration , 2016 .

[8]  Mei-Shiang Chang,et al.  Production scheduling and vehicle routing with time windows for perishable food products , 2009, Comput. Oper. Res..

[9]  Yassine Ouazene,et al.  Machine and production scheduling under electricity time varying prices , 2016, 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

[10]  G. Mirabelli,et al.  A framework for food traceability: case study – Italian extra-virgin olive oil supply chain , 2020 .

[11]  José Eugenio Leal,et al.  ILP model for energy-efficient production scheduling of flake ice units in food retail stores , 2017 .

[12]  Reza Zanjirani Farahani,et al.  A review and critique on integrated production–distribution planning models and techniques , 2013 .

[13]  Konstantin Biel,et al.  Systematic literature review of decision support models for energy-efficient production planning , 2016, Comput. Ind. Eng..

[14]  P. Amorim,et al.  Managing perishability in production-distribution planning: a discussion and review , 2013 .

[15]  Marshall L. Fisher,et al.  Coordination of production and distribution planning , 1994 .

[16]  Masood Parvania,et al.  Optimal production scheduling for smart manufacturers with application to food production planning , 2020, Comput. Electr. Eng..

[17]  Luis Puigjaner,et al.  Simultaneous production and logistics operations planning in semicontinuous food industries , 2012 .

[18]  Raymond Chiong,et al.  Energy-efficient flexible flow shop scheduling with worker flexibility , 2020, Expert Syst. Appl..

[19]  Manoj Kumar Tiwari,et al.  Quantitative approaches for the integration of production and distribution planning in the supply chain: a systematic literature review , 2020, International Journal of Production Research.

[20]  H. Neil Geismar,et al.  The Integrated Production and Transportation Scheduling Problem for a Product with a Short Lifespan , 2008, INFORMS J. Comput..

[21]  Sanja Petrovic,et al.  SURVEY OF DYNAMIC SCHEDULING IN MANUFACTURING SYSTEMS , 2006 .

[22]  Feng Chu,et al.  Bi-criteria single-machine batch scheduling with machine on/off switching under time-of-use tariffs , 2017, Comput. Ind. Eng..

[23]  Bilge Bilgen,et al.  Integrated production scheduling and distribution planning in dairy supply chain by hybrid modelling , 2013, Ann. Oper. Res..