scholarly journals ANALISIS DAMPAK COMPONENT COMMONALITY TERHADAP SCHEDULE INSTABILITY PADA SISTEM RANTAI PASOK SEDERHANA

2017 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Bilal Ahmadi ◽  
Dhanny Surya Ratana

<p>Penelitian ini menganalisis dampak penggunaan common component terhadap <br />ketidakpastian jadwal produksi. Analisis dilakukan pada penggunaan tingkat component <br />commonality (penggunaan komponen yang sama dalam struktur produk yang berbeda) tertentu <br />terhadap tingkat schedule instability pada sistem rantai pasok sederhana yang terdiri dari satu <br />pemanufaktur dan dua pemasok. Beragam kondisi operasional yang berbeda seperti: <br />ketidakpastian permintaan, cost structure, lead time, struktur produk serta kebijakan persediaan <br />yang diterapkan oleh perusahaan menjadi bagian yang diamati dalam studi ini. Hasil dari simulasi <br />menunjukkan penggunaan common component mampu mereduksi tingkat schedule instability, <br />baik pada pemanufaktur maupun pemasok. Selain itu juga tergambar dalam hasil tersebut bahwa <br />entitas pemasok mengalami instability yang lebih besar dibandingkan dengan pemanufaktur</p>

2018 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Bilal Ahmadi ◽  
Dhany Surya Ratana

This study analyzed the impact of component commonality to schedule instability. Analysis was implemented in the use of component commonality (use of same component in different product structures) in a simple supply chain system which is consist of one manufacturer and two suppliers. Different operational conditions were introduced such as: demand uncertainty, product cost structure, product lead time, product structure and inventory policy that company utilized. The simulation results suggested that common component could reduce schedule instability in both manufacturer and suppliers. Furthermore, the results also indicated that suppliers were the more affected entities due to uncertainty rather than manufacturer


2019 ◽  
Vol 24 (2) ◽  
pp. 55
Author(s):  
Abdelouahed Hamdi ◽  
Lotfi Tadj

Component commonality is a well-known approach in manufacturing, where the same components are used for multiple products. It has been implemented by many established companies such as Airbus, Kodak, Toyota, etc. We consider a standard two-product inventory model with a common component. The demands for the products are independent random variables. Instead of the usual approach to minimize the total shortage quantity, we propose to minimize the total shortage cost. The resulting problem is a non-convex nonlinear mathematical program. We illustrate the use of a primal-dual proximal method to solve this problem by obtaining numerically the optimal allocations of components. In particular, we show that a higher unit shortage cost induces a higher allocation.


2009 ◽  
Vol 48 (10) ◽  
pp. 2821-2840 ◽  
Author(s):  
Kazuhiro Izui ◽  
Shinji Nishiwaki ◽  
Masataka Yoshimura ◽  
Haruki Kariya ◽  
Yoshiya Ogihara ◽  
...  

2007 ◽  
Vol 2007.4 (0) ◽  
pp. 189-190
Author(s):  
Haruki KARIYA ◽  
Kazuhiro IZUI ◽  
Shinji NISHIWAKI ◽  
Masataka YOSHIMURA ◽  
Shuichi HAYASHI ◽  
...  

Author(s):  
Shun Takai ◽  
Sankar Sengupta

Delayed differentiation enables firms to cost effectively offer a large variation of the same product by using common components until the products need to be differentiated for regional requirements. Using the same components in different product models (component commonality) is the key to enabling delayed differentiation. The objective of this paper is to propose an approach to evaluate the value of component commonality by integrating product design decisions and supply chain decisions. We propose an approach to assess the value of component commonality by simultaneously optimizing product design (i.e., component commonality) and supply chain decisions including supplier selection (replenishment lead time) and inventory policy. The proposed approach is illustrated in motor commonality decisions for electric bicycles. The optimum component commonality and supply chain decisions are investigated under various conditions including different demand variabilities, component costs, inventory tracking costs, and inventory ordering costs.


2005 ◽  
Vol 17 (1) ◽  
pp. 95-117 ◽  
Author(s):  
Robert A. Leitch ◽  
Patrick R. Philipoom ◽  
Timothy D. Fry

Full-cost heuristics have been proposed as proxies for opportunity costs in order acceptance decisions. We continue this investigation by considering the effect of different levels of stochastic product demand, lead-time allowances, variations in product cost structure, and the balance of workstation capacity, on the efficacy of the full-cost heuristic compared to other accounting based heuristics. We use simulation to consider a common job shop where order arrivals are stochastic and capacity acquisition takes place prior to demand realization. We find that the full-cost heuristic performs well when lead-time allowances are long and the shop is balanced. However, deviations from these conditions can lead to a reduction in its usefulness and better performance by other accounting heuristics.


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