Study of a Manufacturing System with Transport Activities in Urban Area

Abstract: This paper study a manufacturing system composed of a machine, a purchase warehouse, a vehicle and customers that demand a random quantity of products. For transporting the products from the warehouse to the customer in urban area, two cases are considered: in the first case the transport is performed by an electric vehicle and the second case by a petrol vehicle. The objective of this paper is to provide a decision aid to the manufacturer to choose the suitable transport vehicle type according to different costs of the manufacturing system. To describe both cases, a discrete flow model is adopted that takes into account the machine and vehicle failures, carbon penalty and maintenances actions. Both cases of the transport are simulated and numerical results are presented to compare the totals costs and then to provide an aid decision for the manufacturer.

[1]  Nathalie Sauer,et al.  Perturbation analysis based-optimization for discrete flow model: a failure-prone manufacturing system with constant delivery time and stochastic demand , 2010 .

[2]  A. Dolgui,et al.  A model for supply planning under lead time uncertainty , 2002 .

[3]  R. Akella,et al.  Optimal control of production rate in a failure prone manufacturing system , 1985, 1985 24th IEEE Conference on Decision and Control.

[4]  Rezg Nidhal,et al.  Joint optimisation of maintenance and production policies considering random demand and variable production rate , 2012 .

[5]  Stanley B. Gershwin,et al.  Scheduling job shops with delays , 1991 .

[6]  Hajej Zied,et al.  An optimal production/maintenance planning under stochastic random demand, service level and failure rate , 2009, 2009 IEEE International Conference on Automation Science and Engineering.

[7]  Andrea Matta,et al.  Analysis of two-machine lines with multiple failure modes , 2002 .

[8]  Turki Sadok,et al.  Performance evaluation of a closed loop manufacturing system taking into account delivery activity and degradation , 2015, 2015 International Conference on Industrial Engineering and Systems Management (IESM).

[9]  Jason D. Papastavrou,et al.  A stochastic and dynamic model for the single-vehicle pick-up and delivery problem , 1999, Eur. J. Oper. Res..

[10]  Iyad Mourani,et al.  Failure models and throughput rate of transfer lines , 2007 .

[11]  Turki Sadok,et al.  Performance evaluation of a failure-prone manufacturing system with time to delivery and stochastic demand , 2009 .

[12]  Nathalie Sauer,et al.  Perturbation analysis for continuous and discrete flow models: a study of the delivery time impact on the optimal buffer level , 2013 .

[13]  Zied Hajej,et al.  Modelling and analysis for sequentially optimising production, maintenance and delivery activities taking into account product returns , 2015 .