Hasil Pencarian  ::  Simpan CSV :: Kembali

"ABSTRACTIn this paper, we develop a four stage procedure for evaluating and improving a suppliers volume flexibility. In the first stage, we use historical demand data to develop a model for forecasting their future quantities. In the next stage, we develop an algorithm for smoothing the forecasted future demands. We show that applying this algorithm not only reduces production fluctuations and damages, but also improves the flexibility of the supplier and hence the overall supply chain. We investigate the economical conditions of applying this algorithm. In the third stage, by considering the forecasted future demands, we develop a mathematical single-period flexibility measure. In the fourth stage, the developed measure is extended to a multi period model for applying in the multi period supply collaborations and especially in the VMI systems. Furthermore, we consider weight coefficients for taking into account the different importance of flexibility from the buyers perspective over the time horizon. By applying in a real case study about an oil refinery, we verify the developed model and investigate the effects of its parameters through the sensitivity analysis."

"This work encapsulates the essential developments in this field into a single resource, as well as to set an agenda for further development in the field. This brief focuses on the demand flexibility in supply chains with fragmented results distributed throughout the literature. These results have strong implications for managing real-world complex operations planning problems.This book exploits dimensions of demand flexibility in supply chains and characterizes the best fit between demand properties and operations capabilities and constraints. The origins and seminal works are traced in integrated demand and operations planning and an in-depth documentation is provided for the current state of the art. Systems with inherent costs and constraints that must respond to some set of demands at a minimum cost are examined. Crucial unanswered questions are explored and the high-value research directions are highlighted for both practice and for the development of new and interesting optimization models and algorithms."

"This paper addresses a new robust multi objective multi period model for supply chain planning under uncertainty considering quantity discounts. The proposed model maximizes the current proht of the distributor by making a balance between the total costs of the supply chain and the distributor company s revenues of selling products and also maximizes the company s expected profit by introducing brands and taking the risk of loss on it. Considering uncertainty in the purchasing cost, selling fees, and demand fluctuations, the new robust multi objective mixed integer programming model is solved as a single objective mixed integer programming model by utilizing the LP metrics method. By settling regulatory penalty parameters and considering different economic scenarios, the robustness and effectiveness of the developed model are verified with the data from BEH PAKHSH Company, a commodities distributor in Iran. The outcomes show that the proposed model is a promising approach to run an efficient supply chain."

"This book provides some regional aspects considered by manufacturing firms in their decisions to gain competitiveness and have effects on the performance of their supply chains (SC). Some of the main aspects considered are: government's policies, fixed costs, the availability and quality of infrastructure services. This book also discusses the risks for the SC; based on a perception approach, some aspects studied are: demand, suppliers and production processes and how these are related to other elements of the SC. The authors use structural modeling to analyze the evaluation of some manufacturing practices and their impact on customer service satisfaction, agility and flexibility of the SC. The context of this study is immersed in the Mexican manufacturing industry of exportation, also known as maquiladora industry of Ciudad Juarez, México. This borderland is among the top 10 manufacturing Mexican cities. World class industries are located in this region and have been recognized around the world for their competitiveness and high performance. Therefore, the methods and results exposed in this book may be valuable and useful for readers and researchers of the SC worldwide."

"ABSTRAKPermasalahan jaringan rantai pasok atau supply chain network pada umumnya hanya memperhatikan model optimasi biaya dengan menentukan konfigurasi supply chain yang optimal dalam lingkungan bisnis yang tidak pasti. Sekarang ini, muncul banyak tekanan dari masyarakat untuk merancang supply chain network yang berkelanjutan untuk mengurangi emisi karbon yang dihasilkan dari kegiatan supply chain dengan biaya yang proporsional. Studi ini membahas perancangan supply chain network yang berkelanjutan dengan mempertimbangkan skema perdagangan karbon dan ­trade-credit dari pemasok untuk memaksimalkan total profit supply chain. Permasalahan yang dibahas tidak hanya tentang pengambilan keputusan mengenai jumlah, lokasi, dan kapasitas dari fasilitas supply chain, aliran produk antar fasilitas di dalam network, dan harga jual produk, tetapi juga mengenai jumlah pemesanan material kepada pemasok yang optimal berdasarkan pada skema trade-credit yang berbeda-beda. Sebuah model robust fuzzy programming yang dikembangkan dari integrasi model robust optimization dan fuzzy programming digunakan untuk menangani ketidakpastian pada permintaan pelanggan dan komponen biaya. Sebuah studi kasus pada perusahaan baja Taiwan dilakukan untuk menunjukkan kinerja dan efisiensi model yang diusulkan. Hasil pengujian menunjukkan bahwa model yang diusulkan dapat meningkatkan total keuntungan supply chain sebesar 3 persen dan mengurangi waktu perhitungan sebesar 76% dibandingkan dengan model scenario-based robust stochastic programming. Temuan kami juga menunjukkan bahwa konfigurasi supply chain network yang optimal dipengaruhi oleh skenario perdagangan karbon yang berbeda dan pemilihan pemasok juga dipengaruhi oleh skema trade-credit

---

ABSTRACTClassical supply chain networks mainly concern on the economic optimization model by determining the optimal supply chain configuration under the chaotic business environment. There has been an immense pressure from the society to design more sustainable supply chain networks for reducing the carbon emissions generated from supply chain activities with reasonable cost. This study addresses the sustainable supply chain network design problem considering carbon trading policy and trade-credit from suppliers to optimize the total supply chain profit in both physical market and carbon market. The problem entails decisions regarding not only the number, location, and capacity of facilities, the product flow among entities in the network, and the product-selling price but also the optimal economic order quantity to suppliers under different trade-credit schemes. A robust fuzzy programming model based on the integration of robust optimization and fuzzy programming is applied to tackle the uncertainties in demand and relevant costs. A case study in Taiwan steel firm was conducted to demonstrate the efficacy and efficiency of the proposed model. Results show that the proposed model improves the total supply chain profit, including the profits from physical and carbon markets, by approximately 3 percent and reduces the computational time by 76% compared to the scenario-based robust stochastic programming. Our findings also show that the optimal configuration of supply chain network is sensitive to different scenario of carbon trade and selection of supplier is affected by the trade-credit policy."

"This book addresses biometrics from a biomedical engineering point of view. Divided into five sections, it discusses topics including the influence of pathologies on various biometric modalities (e.g. face, iris, fingerprint), medical and security biometrics, behavioural biometrics, instrumentation, wearable technologies and imaging. The final chapters also present a number of case studies. "