خلاصة:
Nowadays, by increasing competition and customization, a build-to-order (BTO) system is given more consideration. Because of receiving the order at the beginning of assembling in BTO systems, the time of a failed machine causes a longer lead time. Thus, preventive maintenance (PM) can increase the availability of machines and is useful in this system. It is under the constant interval, in which the Weibull’s graph is used to estimate a Weibull distribution for a failure rate function. This paper aims to maximize the total available time of machines, which is calculated based on the sum of the time of stopping the machines. In other words, the time of stopping the machines is maximized. This paper develops a new integrated bi-objective BTO supply chain problem, which maximizes the profit and minimizes the time of stopping the machines by PM. Maintenance is a new issue in BTO studies. Since the importance of on-time lead time in these systems, PM has beneficial results in these systems, which is very useful for senior managers. Outsourcing and pricing are the other issues considered in this paper. Furthermore, a robust optimization approach is applied to handle uncertainty. The new robust BTO supply chain model is performed in a wood industry to accredit this proposed model. At last, managerial insights are provided in such a way that using PM, outsourcing, pricing, and uncertainty in BTO systems is very useful and applicable.
ملخص الجهاز:
This paper develops a new integrated bi-objective BTO supply chain problem, which maximizes the profit and minimizes the time of stopping the machines by PM.
Many researchers have suggested that SCM integrates functions, distribution operations, and production to be a flexible company, and reduce the costs (Touil et al.
Kang and Subramaniam (2018) studied integrated preventive and corrective maintenance and control of production in deteriorating a manufacturing system with a single machine.
In another study, the customer utility was considered in a BTO supply chain so that the utility function was based on the quality and price.
(2017) investigated sales and operation planning in BTO systems, in which their multi-objective problem trades-off between customer satisfaction and costs.
(2019) studied BTO systems under uncertainty and proposed a multi-objective problem that minimizes the cost and lead time and maximizes the quality.
302 Model description We have studied many literature reviews in maintenance and BTO supply chain, integrated some aspects (e.
Optimal amount of raw materials {مراجعه شود به فایل جدول الحاقی} {مراجعه شود به فایل جدول الحاقی} Table 6 shows the sensitivity analysis of the assembling/manufacturing cost of the final product by the LP-metric method (i.
5. Conclusion This paper developed a joint bi-objective build-to-order (BTO) supply chain and maintenance model under uncertainty.
A robust integrated production and preventive maintenance planning model for multi-state systems with uncertain demand and common cause failures.
Benders decomposition algorithm for a build-to-order supply chain problem under uncertainty, International Journal of Industrial Engineering and Production Research, Vol. 30, pp.
A bi-objective model of preventive maintenance planning in distributed systems considering vehicle routing problem.