Joint modified block replacement and production/inventory control policy for a failure-prone manufacturing cell

This paper considers a joint preventive maintenance (PM) and production/inventory control policy of an unreliable single machine, mono-product manufacturing cell with stochastic non-negligible corrective and preventive delays. The production/inventory control policy, which is based on the hedging point policy (HPP), consists in building and maintaining a safety stock of finished products in order to respond to demand and to avoid shortages during maintenance actions. Without considering the impact of preventive and corrective actions on the overall performance of the production system, most authors working in the reliability and maintainability domains confirm that the age-based preventive maintenance policy (ARP) outperforms the classical block-replacement policy (BRP). In order to reduce wastage incurred by the classical BRP, we consider a modified block replacement policy (MBRP), which consists in canceling a preventive maintenance action if the time elapsed since the last maintenance action exceeds a specified time threshold. The main objective of this paper is to determine the joint optimal policy that minimizes the overall cost, which is composed of corrective and preventive maintenance costs as well as inventory holding and backlog costs. A simulation model mimicking the dynamic and stochastic behavior of the manufacturing cell, based on more realistic considerations of the real behavior of industrial manufacturing cells, is proposed. Based on simulation results, the joint optimal MBRP/HPP parameters are obtained through a numerical approach that combines design of experiment, analysis of variance and response surface methodologies. The joint optimal MBRP/HPP policy is compared to classical joint ARP/HPP and BRP/HPP optimal policies, and the results show that the proposed MBRP/HPP outperforms the latter. Sensitivity analyses are also carried out in order to confirm the superiority of the proposed MBRP/HPP, and it is observed that for practitioners, the proposed joint MBRP/HPP offers not only cost savings, but is also easy to manage, as compared to the ARP/HPP policy.

[1]  Ali Gharbi,et al.  Production and preventive maintenance rates control for a manufacturing system: An experimental design approach , 2000 .

[2]  Jonas C. P. Yu,et al.  Optimal inventory model for items with imperfect quality and shortage backordering , 2007 .

[3]  Ali Gharbi,et al.  Optimal safety stocks and preventive maintenance periods in unreliable manufacturing systems , 2007 .

[4]  Nidhal Rezg,et al.  Joint optimization of preventive maintenance and inventory control in a production line using simulation , 2004 .

[5]  Wen-Jinn Chen,et al.  Minimizing number of tardy jobs on a single machine subject to periodic maintenance , 2009 .

[6]  David W. Pentico,et al.  The deterministic EPQ with partial backordering: A new approach , 2009 .

[7]  Mehmet Savsar Effects of maintenance policies on the productivity of flexible manufacturing cells , 2006 .

[8]  Menachem Berg,et al.  A modified block replacement policy , 1976 .

[9]  Rommert Dekker,et al.  Modified block-replacement for multiple-component systems , 1996, IEEE Trans. Reliab..

[10]  Toshiro Tango,et al.  Extended block replacement policy with used items , 1978, Journal of Applied Probability.

[11]  Marvin Zelen,et al.  Mathematical Theory of Reliability , 1965 .

[12]  Moueen K. Salameh,et al.  Optimal just-in-time buffer inventory for regular preventive maintenance , 2001 .

[13]  Ki Ling Cheung,et al.  Joint determination of preventive maintenance and safety stocks in an unreliable production environment , 1997 .

[14]  Abdelhakim Artiba,et al.  Joint optimal periodic and conditional maintenance strategy , 2005 .

[15]  Jean-Pierre Kenné,et al.  Hierarchical control of production and maintenance rates in manufacturing systems , 2003 .

[16]  Suh-Jenq Yang,et al.  Minimizing the makespan on single-machine scheduling with aging effect and variable maintenance activities , 2010 .

[17]  Toshiro Tango,et al.  A Modified Block Replacement Policy Using Less Reliable Items , 1979, IEEE Transactions on Reliability.

[18]  Bibhas C. Giri,et al.  Production lot sizing with process deterioration and machine breakdown under inspection schedule , 2009 .

[19]  El-Kébir Boukas,et al.  Manufacturing flow control and preventing maintenance: a stochastic control approach , 1988 .

[20]  Stanley B. Gershwin,et al.  An algorithm for the computer control of a flexible manufacturing system , 1983 .

[21]  A. Alan B. Pritsker,et al.  Simulation with Visual SLAM and AweSim , 1997 .

[22]  M.Carmen Carnero Moya The control of the setting up of a predictive maintenance programme using a system of indicators , 2004 .

[23]  D. Xiang,et al.  Monotonicity of optimal flow control for failure-prone production systems , 1995 .

[24]  Hongzhou Wang,et al.  A survey of maintenance policies of deteriorating systems , 2002, Eur. J. Oper. Res..

[25]  R. Barlow,et al.  Optimum Preventive Maintenance Policies , 1960 .

[26]  Ali Gharbi,et al.  Production planning problem in manufacturing systems with general failure and repair time distributions , 2000 .

[27]  Jingxian Wu,et al.  Flexible lognormal sum approximation method , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[28]  Nidhal Rezg,et al.  Joint optimal inventory control and preventive maintenance policy , 2008 .

[29]  Ali Gharbi,et al.  Experimental design in production and maintenance control problem of a single machine, single product manufacturing system , 1999 .

[30]  Anis Chelbi,et al.  Generalized inspection strategy for randomly failing systems subjected to random shocks , 2000 .

[31]  Ian Hipkin,et al.  TQM and BPR: lessons for maintenance management , 2000 .

[32]  Nidhal Rezg,et al.  Modeling and optimizing a joint inventory control and preventive maintenance strategy for a randomly failing production unit: Analytical and simulation approaches , 2005, Int. J. Comput. Integr. Manuf..

[33]  Chia-Huei Ho,et al.  Exact closed-form solutions for “optimal inventory model for items with imperfect quality and shortage backordering” , 2010 .

[34]  Adolfo Crespo Márquez,et al.  Contemporary maintenance management: process, framework and supporting pillars , 2006 .

[35]  Houmin Yan,et al.  Optimal production control in a discrete manufacturing system with unreliable machines and random demands , 2000, IEEE Trans. Autom. Control..

[36]  Anis Chelbi,et al.  Analysis of a production/inventory system with randomly failing production unit submitted to regular preventive maintenance , 2004, Eur. J. Oper. Res..

[37]  B. Bhat,et al.  Used item replacement policy , 1969, Journal of Applied Probability.

[38]  D. N. P. Murthy,et al.  A note on extended block replacement policy with used items , 1982 .

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

[40]  Stanley Gershwin,et al.  An algorithm for the computer control of production in a flexible manufacturing system , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.