دانلود رایگان مقاله لاتین انتخاب تامین کننده در صنایع غذایی از سایت الزویر
عنوان فارسی مقاله:
انتخاب تامین کننده در صنایع غذایی فرآوری شده در شرایط نامطمئن
عنوان انگلیسی مقاله:
Supplier Selection in the Processed Food Industry under Uncertainty
سال انتشار : 2016
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بخشی از مقاله انگلیسی:
2. Literature Review
The research on supplier selection problems has been traditionally divided between the operations management community that seeks an intuitive understanding of this problem, and the operations research community that explores the advantages of structuring this decision process and unveils hidden trade-offs through the use of techniques, such as mathematical programming (De Boer et al, 2001). For a thorough review of quantitative methods for the supplier selection problem the readers are referred to Ho et al (2010). Most of the approaches to tackle the supplier selection problem are based on the Analytic Hierarchy Process (AHP) method to help decision makers in dealing with both uncertainty and subjectivity (Deng et al, 2014). There are also examples of works that combine AHP with other techniques, such as fuzzy linear programming (Sevkli et al, 2008). Data Envelopment Analysis (DEA) is also another widely used technique for supplier selection problems. For example, Kumar et al (2014) propose a methodology for the supplier selection taking into consideration the carbon footprints of suppliers as an attribute of the DEA model. The most straightforward extension to the supplier selection problem is to couple it with decisions about inventory management (Aissaoui et al, 2007). Guo and Li (2014) integrate supplier selection and inventory management for multi-echelon systems. Other works incorporate other decisions, such as the carrier selection, besides determining the ordering quantities (Choudhary and Shankar, 2014). More recently, researchers have started to address other relevant aspects that can be studied under this general problem. Chen and Guo (2013) study the importance of supplier selection in competitive markets, and indicated that besides the more evident conclusion that dual sourcing can help to mitigate supply chain risks, strategic sourcing can also be an effective tool in approaching retail competition. Qian (2014) develops an analytic approach that incorporates extensive market data when determining the supplier selection in a make-to-order production strategy. With a more practical emphasis, Hong and Lee (2013) lay the foundations of a decision support system for effective risk-management when selecting suppliers in a spot market using measures similar to the Conditional Value-at-Risk (Rockafellar and Uryasev, 2000, 2002), such as the Expected Profit-Supply at Risk. Another relevant aspect is disruption management, especially regarding the suppliers’ availability. Silbermayr and Minner (2014) develop an analytic model based on Markov decision processes in which suppliers may be completely unavailable at a given (stochastic) interval of time. Due to the complexity of the optimal ordering policies, they also derive a heuristic approach. Uncertainty has been incorporated in supplier selection problems either through stochastic programming or simulation. Moreover, distinct sources of uncertainty and different distributions for these uncertainties have been considered. Using a hybrid simulation optimization methodology, Ding et al (2005) are able to estimate the impact of the supplier selection on the tactical processes of the supply chain, and use this information back in the decision about which suppliers to select. Stochastic programming has proved to be a suitable methodology to address complex issues involved in supplier selection. Sawik (2013) proposes a similar model to the one presented in this paper as it is able to deal with multiple periods and it accounts for uncertainty through stochastic programming. Hammami et al (2014) propose a model for supplier selection considering uncertainty on the currency fluctuation. Through a case-study, the authors were able to show the value of the stochastic solution when compared to the deterministic model. In light of this discussion, the main contributions of this paper to the supplier selection literature relate to accounting for uncertainty in the lead time, the consideration of distribution decisions and the emphasis on the characteristics of processed food industries. This last point is in line with an ongoing discussion about the sustainability and profitability of local sourcing for processed food industries (Sch¨onhart et al, 2009). In terms of solution methods, as the complexity of our problem required the use of a more sophisticated approach rather than solving the monolithic model, we show the applicability of a multi-cut Benders decomposition method to this supplier selection problem. Moreover, we show that the valid inequalities that can be obtained from a generalized disjunctive programming formulation (Raman and Grossmann, 1994) can be used in order to tighten the Benders master problem.
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کلمات کلیدی:
Design and Selection of Food Processing Equipment | SpringerLink https://link.springer.com/chapter/10.1007/978-3-319-25020-5_2 by G Saravacos - 2016 - Cited by 1 - Related articles Dec 30, 2015 - Abstract. The principles of mechanical design and construction of food processing equipment are similar to those for the equipment of the ... Materials selection for food processing - Corrosion Doctors corrosion-doctors.org/Food-Industry/Mat-select.htm Selecting the most appropriate materials and fabricating them into hygienic food-processing equipment is a process that should start by considering the detailed ... The Ideal Criteria of Supplier Selection for SMEs Food Processing ... https://www.matec-conferences.org/articles/.../pdf/.../matecconf_icmit2016_05006.pdf by R Ramlan - 2016 - Related articles Abstract. Selection of good supplier is important to determine the performance and profitability of SMEs food processing industry. The lack of managerial ...
