Optimisation and Constraint Based Heuristic Methods for Advanced Planning and Scheduling Systems

Authors

  • Arslan Ornek Izmir University of Economics
  • Cemalettin Ozturk Insight Centre for Data Analytics, University College Cork

DOI:

https://doi.org/10.23055/ijietap.2016.23.1.1930

Keywords:

operations research, heuristics, production, constraint programming (CP), Advanced Planning and Scheduling (APS)

Abstract

Manufacturing Resources Planning (MRPII) systems are unable to prevent capacity problems occurring on the shop floor such as varying workloads, changing bottlenecks, high Work-in-Process (WIP) levels, lower machine utilisation, less throughput, late deliveries that cannot be resolved easily in the short term because production scheduling is based on fixed lead times and backward scheduling logic. For this reason, a new breed of concepts called APS (Advanced Planning and Scheduling) systems emerged which include finite capacity planning at the shop floor level through constraint based planning. In this paper, we present a Constraint Programming (CP) model to show how optimisation models could be used in this context. We also present a two phase heuristic to solve this complicated APS problem. While jobs are assigned to the best eligible machines to smooth the workload on the machines in the first phase, a constraint based scheduling heuristic schedules jobs once they are assigned to eligible machines in the second phase. We provide numerical tests and discuss the results for both models and the heuristic. The concluding remarks and suggestions for future research are stated in the final section of the paper.

Author Biographies

Arslan Ornek, Izmir University of Economics

Dr. Ornek is professor at Izmir University of Economics, Department of Industrial Engineering, Izmir, Turkey. He received BSc and MSc degrees from Industrial Engineering Dept., Middle East Technical University, Ankara, Turkey, and he did his PhD in the Dept of Mechanical Engineering and Engineering Production, University of Wales Institute of Science and Technology (UWIST), Wales, UK, on the subject of energy management modeling in production and inventory systems. After working for various industries including paint and varnish production, apparel manufacture for 20 years, he joined academia and now he lectures courses on manufacturing planning and control, and Operations Research, and is actively  involved in developing projects with industry. His research interests include Advance Planning Systems, Constraint Programming, Assembly Lines, and Scheduling. Dr. Ornek has published articles in journals and presented papers in national and international meetings.

Cemalettin Ozturk, Insight Centre for Data Analytics, University College Cork

Cemalettin Öztürk received his B.S., M.S. and PhD degrees in Industrial Engineering all from Dokuz Eylül University in years 2002, 2007 and 2013, respectively. His research interests include advanced planning and scheduling, lot sizing and scheduling, assembly line design and scheduling , flexible manufacturing systems, mathematical and constraint programming, simulation of manufacturing and service systems. He has published papers and presentations in national and international meetings. He is actively involved in managing technology development projects with industrial and software companies.

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Published

2016-03-24

How to Cite

Ornek, A., & Ozturk, C. (2016). Optimisation and Constraint Based Heuristic Methods for Advanced Planning and Scheduling Systems. International Journal of Industrial Engineering: Theory, Applications and Practice, 23(1). https://doi.org/10.23055/ijietap.2016.23.1.1930

Issue

Vol. 23 No. 1 (2016)

Section

Production Planning and Control

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