Multi-project and Procurement Scheduling for Manufacturing-to-order Environments under Price Inflation

Document Type : Research Paper


Department of Industrial Engineering, College of Engineering, Yazd University, Yazd, Iran


Production planning in manufacturing-to-order (MTO) environments has been treated by several researchers as a project scheduling problem, in which customers’ orders are assumed to be different projects that rely on several shared resources. Processing several orders at the same time extends this problem to the resource-constrained multi-project scheduling problem (RCMPSP), while only single projects are considered in the relevant literature. A primary issue for this problem is procurement scheduling, which is handled using integrated project scheduling and material ordering (PSMO) models; however, existing PSMO models do not consider inflation-related costs caused by the ordering times for procurement items. In this paper, MTO production planning is modeled as a resource-constrained multi-project scheduling problem integrated with procurement scheduling under inflation. The proposed model reduced the delay by 72.7% on average and also reduced the delay penalties by 54% on average, compared to the current status of the case study.


Alfieri, A., Tolio, T., Urgo, M., (2011). A project scheduling approach to production planning with feeding precedence relations. International Journal of Production Research, Vol. 49(4), pp. 995–1020.
Alfieri, A., Tolio, T., Urgo, M., (2012a.) A two-stage stochastic programming project scheduling approach to production planning. The International Journal of Advanced Manufacturing Technology, Vol. 62(1-4), pp. 279–290.
Alfieri, A., Tolio, T., Urgo, M., (2012b). A project scheduling approach to production and material requirement planning in Manufacturing-to-Order environments. Journal of Intelligent Manufacturing, Vol. 23(3), pp. 575–585.
Alfieri, A., Urgo, M., (2015). Project scheduling for aggregate production scheduling in make-to-order environments. In: Schwindt C., Zimmermann J. (eds) Handbook on Project Management and Scheduling, Springer, Cham. pp. 1249–1266.
Assaf, S., Hassanain, M.A., Abdallah, A., Sayed, A.M., Alshahrani, A., (2019). Significant causes of claims and disputes in construction projects in Saudi Arabia. Built Environment Project and Asset Management, Vol. 9(5), pp. 597–615.
Budayan, C., (2019). Evaluation of delay causes for BOT projects based on perceptions of different stakeholders in Turkey. Journal of Management in Engineering, Vol.  35(1), pp. 1–13.
Central bank of Iran, available at (accessed 4 Dec 2019).
Egri, P., Kovács, A., Markus, A., Váncza, J., (2004). Project-Oriented approach to production planning and scheduling in Make to Order Manufacturing. Production Systems and Information Engineering, Vol. 2(1), pp. 22–36.
Fraz, A., Waris, A., Afzal, S., Jamil, M., Shah, S. T. H., Sultana, S., (2016). Effect of Project Management Practices on Project Success in Make-to-Order Manufacturing Organizations. Indian Journal of Science and Technology, Vol. 9(21), pp. 1–8.
Goli, A., Alinaghian, M. (2020). A new mathematical model for production and delivery scheduling problem with common cycle in a supply chain with open-shop system. International Journal of Manufacturing Technology and Management, Vol. 34(2), pp. 174–187.
Goli, A., Zare, H. K., Tavakkoli-Moghaddam, R., Sadeghieh, A. (2019). Application of robust optimization for a product portfolio problem using an invasive weed optimization algorithm. Numerical Algebra, Control & Optimization, Vol. 9(2), pp. 187–209.
Goodier, C.I., Zhang, Y., Lord, W. E., Soetanto, R., (2018). Delay factors for international engineer-procure-construct (EPC) high-speed rail construction projects. Conference and Annual General Meeting: A Productive Relationship: Balancing Fragmentation and Integration (ARCOM 2018), Belfast, UK, pp. 490–499.
Habibi, F., Barzinpour, F., Sadjadi, S.J., (2019). A mathematical model for project scheduling and material ordering problem with sustainability considerations: A case study in Iran. Computers & Industrial Engineering 128, 690–710.
Kadry, M., Osman, H., Georgy, M., 2017. Causes of construction delays in countries with high geopolitical risks. Journal of construction engineering and management, Vol. 143(2), pp. 1–11.
Manzini, M., Urgo, M., (2015). Makespan estimation of a production process affected by uncertainty: Application on MTO production of NC machine tools. Journal of Manufacturing Systems, Vol. 37, pp. 1–16.
Márkus, A., Váncza, J., Kis, T., Kovács, A., (2003). Project scheduling approach to production planning. CIRP Annals Vol. 52(1), pp. 359–362.
Sabbagh, V., Salehi, M., (2017). Modeling and solving resource constraints project scheduling problem and material ordering for buying or producing. International Journal of Industrial Engineering & Production Research, Vol. 28(2), pp. 317–329.
Shahsavar, A., Abbasi, B., Zoraghi, N., (2015). Material ordering with discount policy integrated with a project scheduling problem. IEEE international conference on industrial engineering and engineering management (IEEM), pp. 1223–1226.
 Sheikh-Sajadieh, M., Shadrokh, S., Hassanzadeh, F., (2009). Concurrent project scheduling and material planning: A genetic algorithm. Scientiairanica Transaction E: Industrial Engineering, Vol. 16(2), pp. 91–99.
Suppramaniam, S.U., Ismail, S., Suppramaniam, S., (2018). Causes of delay in the construction phase of oil and gas projects in Malaysia. International Journal of Engineering & Technology, Vol. 7(2.29), pp. 203–209.
Tabrizi, B.H., Ghaderi, S.F., (2015a). A bi-objective model to address simultaneous formulation of project scheduling and material ordering. World Academy of Science, Engineering and Technology, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, Vol. 9(11), pp. 1897–1900.
Tabrizi, B.H., Ghaderi, S.F., (2015b). An integrated mixed-integer programming model to address concurrent project scheduling and material ordering. World Academy of Science, Engineering and Technology, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, Vol. 9(11), pp. 1888–1891.
Tabrizi, B.H., Ghaderi, S.F., (2016). A robust bi-objective model for concurrent planning of project scheduling and material procurement. Computers & Industrial Engineering, Vol. 98, pp. 11–29.
Tabrizi, B.H., (2018). Integrated planning of project scheduling and material procurement considering the environmental impacts. Computers & Industrial Engineering, Vol. 120, pp. 103–115.
Wei, F., Du, B., Tian, S., Li, Q., (2018). Prediction of material procurement delays in delivery for multi-variety and small batch manufacturing. Journal of Beijing University of Aeronautics and Astronautics, Vol. 31(3), pp. 78–83.
Zoraghi, N., Najafi, A.A., Niaki, S.T.A., (2015). Resource constrained project scheduling with material ordering: two hybridized meta-heuristic approaches. International Journal of Engineering, Vol. 28(6), pp. 896–902.
Zoraghi, N., Shahsavar, A., Abbasi, B., Van Peteghem, V., (2017). Multi-mode resource constrained project scheduling problem with material ordering under bonus–penalty policies. Top, Vol. 25(1), pp. 49–79.