کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6895975 1445987 2016 32 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Outsource planning through option contracts with demand and cost uncertainty
ترجمه فارسی عنوان
برنامه ریزی منابع از طریق قرارداد گزینه با تقاضای و عدم اطمینان هزینه
کلمات کلیدی
مدیریت زنجیره تامین، برنامه ریزی منابع انسانی، قرارداد اختیاری، تقاضا / عدم اطمینان هزینه،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی
This research considers a supply chain consisting of one supplier and one manufacturer that produces a kind of product, e.g. innovative products, with a long supply lead-time, a short selling season and a stochastic demand. Complete production of the final product requires both an initial and a final processing operation. The manufacturer performs the initial processing operation with a deterministic cost. The final processing operation may be either performed by the manufacturer or assigned to an outside firm through a bid process. At the time of the supply contract, the final processing cost (FPC) is estimated as a stochastic variable. The uncertainty on FPC is removed before the selling season starts. The present study is an attempt to determine how the manufacturer should place the supply orders within the framework of wholesale price, put, call and bidirectional options. Option contracts provide the manufacturer with the flexibility to adjust his initial orders by exercising purchased options after the FPC is realized. We find optimal exercised orders with each option contract, in addition to equations in which the optimal initial and option orders hold. According to our analysis, if the realized FPC is higher (lower) than a specific level, the manufacturer should decrease (increase) his initial orders. We obtain analytically these specific levels under all types of option contracts. The numerical analysis and managerial insights shed light on the value of option contracts considering different parameter settings.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Operational Research - Volume 250, Issue 1, 1 April 2016, Pages 131-142
نویسندگان
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