会议论文详细信息
4th Asia Pacific Conference on Manufacturing Systems; 3rd International Manufacturing Engineering Conference
Optimal Lease Contract for Remanufactured Equipment
Iskandar, B.P.^1 ; Wangsaputra, R.^1 ; Pasaribu, U.S.^2 ; Husniah, H.^3
Department of Industrial Engineering, Bandung Institute of Technology, Ganesha 10, Bandung
40132, Indonesia^1
Department of Mathematics, Bandung Institute of Technology, Ganesha 10, Bandung
40132, Indonesia^2
Department of Industrial Engineering, Langlangbuana University, Karapitan 116, Bandung
40261, Indonesia^3
关键词: Additional costs;    Decision problems;    Optimal decisions;    Optimal maintenance;    Remanufactured products;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/319/1/012070/pdf
DOI  :  10.1088/1757-899X/319/1/012070
来源: IOP
PDF
【 摘 要 】

In the last two decades, the business of lease products (or equipment) has grown significantly, and many companies acquire equipment through leasing. In this paper, we propose a new lease contract under which a product (or equipment) is leased for a period of time with maximum usage per period (e.g. 1 year). This lease contract has only a time limit but no usage limit. If the total usage per period exceeds the maximum usage allowed in the contract, then the customer (as a lessee) will be charged an additional cost. In general, the lessor (OEM) provides a full coverage of maintenance, which includes PM and CM under the lease contract. It is considered that the lessor offers the lease contract for a remanufactured product. We presume that the price of the lease contract for the remanufactured product is much lower than that of a new one, and hence it would be a more attractive option to the customer. The decision problem for the lessee is to select the best option offered that fits to its requirement, and the decision problem for the lessor is find the optimal maintenance efforts for a given price of the lease option offered. We first find the optimal decisions independently for each party, and then the joint optimal decisions for both parties.

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