A multi-period supply chain design with product life cycle considerations

Author(s):  
Khaoula Besbes ◽  
Taicir Loukil ◽  
Hamid Allaoui ◽  
Gilles Goncalves
Author(s):  
Khaoula Besbes ◽  
Hamid Allaoui ◽  
Gilles Goncalves ◽  
Taicir Loukil

Supply chain is an alliance of independent business processes, such as supplier, manufacturing, and distribution processes that perform the critical functions in the order fulfillment process. However, the discussions in marketing and logistic literature universally conclude that it would be desirable to determine the life cycle of products in the firm, as they have a great impact on appropriate supply chain design. Designing a supply chain effectively is a complex and challenging task, due to the increasing outsourcing, globalization of businesses, continuous advances in information technology, and product life cycle uncertainty. Indeed, uncertainty is one of the characteristics of the product life cycle. In particular, the strategic design of the supply chain has to take uncertain information into account. This chapter presents a two-phase mathematical programming approach for effective supply chain design with product life cycle uncertainty considerations.


2013 ◽  
Vol 14 (2) ◽  
pp. 18-25 ◽  
Author(s):  
Khaoula Besbes ◽  
Hamid Allaoui ◽  
Gilles Goncalves ◽  
Taicir Loukil

2014 ◽  
Vol 11 (1) ◽  
pp. 102-114 ◽  
Author(s):  
Saurabh Agrawal ◽  
Rajesh K. Singh ◽  
Qasim Murtaza

Purpose – The purpose of this paper is to develop a model for forecasting product returns to the company for recycling in terms of quantity and time. Design/methodology/approach – Graphical Evaluation and Review Technique (GERT) has been applied for developing the forecasting model for product returns. A case of Indian mobile manufacturing company is discussed for the validation of this model. Survey conducted by the company and findings from previous research were used for data collection on probabilities and product life cycle. Findings – Product returns for their recycling are stochastic, random and uncertain. Therefore, to address the uncertainty, randomness and stochastic nature of product returns, GERT is very useful tool for forecasting product returns. Practical implications – GERT provides the visual picture of the reverse supply chain system and helps in determining the expected time of product returns in a much easier way but it requires probabilities of different flows and product life cycle. Both factors vary over a period, so require data update time to time before implementation. Originality/value – This model is developed by considering all possible flows of sold products from customer to their reuse, store or recycle or landfill. First time this type of real life flows have been considered and GERT has been applied for forecasting product returns. This model can be utilized by managers for better forecasting that will help them for effective reverse supply chain design.


2013 ◽  
Vol 436 ◽  
pp. 551-556
Author(s):  
Stefan Pap ◽  
Liviu Morar

From a purchasing point of view, it can be argued that in order for a supply chain to be efficient the cost of purchasing must be balanced with risk pertaining to the supply market and the purchased product. To decide on the appropriate forms of supplier relationships today, we argue that there are three main dimensions to be considered: A more complex environment. Supply chain efficiency. Product life cycle.


Author(s):  
João Gilberto Mendes dos Reis ◽  
Sivanilza Teixeira Machado ◽  
Pedro Luiz de Oliveira Costa Neto ◽  
Irenilza de Alencar Nääs

Author(s):  
Sasan T. Khorasani

Measuring quality in design-driven innovation is part of the larger subject of product design, supply chain management and new product development (NPD). In other words, better design and supply chain integration increase the efficiency and effectiveness of the production development process. In this work, I have studied the role of understanding the needs of customers and design approaches for new products through a combination of customer feedback and participation of designers in the first phase of new product development. Furthermore, I discuss why the incorporation of both designers and customer needs is important to design-driven innovation. In the second phase of this study, I present several case studies in terms of supplier-buyer relationships in order to find a solution that achieves a long-term relationship (the alliance-star model) in new product development, which is a crucial problem in the Blue Ocean Strategy. Finally, by presenting the CDFS (Customer-Designer-Firm-Supplier) strategic model, we show schematically the integrated-comprehensive process approach for creating a new innovative product from the concept phase through to the end of Product life cycle. This model presents the process of new innovation, which can ensure added value during Product life cycle.


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