Two Stage Supply Chain Optimization for Perishable Products Under Fuzzy Environment

2019 ◽  
Vol 8 (3) ◽  
pp. 31-48
Author(s):  
Sandhya Makkar

In the changing market scenario, supply chain management is getting phenomenal importance amongst researchers. Studies on supply chain management have emphasized the vitality of a long-term strategic relationship between the supplier, distributor and retailer. In this article, the authors have studied a two-stage supply chain coordination problem under uncertain costs and demand information when integrated procurement and distribution decisions of supply chain has to be employed. The model incorporates a single supplier transporting its products to multiple destinations of a retailer. This process becomes tedious, as when items have an inventory carrying cost incurred due to perishable nature of products. Different discount policies are offered to procure and transport goods from the one stage to other stage. Fuzzy set theory is applied to estimate the uncertainty associated with the input parameters and triangular fuzzy numbers are used to analyze the model. A case is presented to validate the procedure.

2021 ◽  
pp. 109634802199679
Author(s):  
Xiaofeng Zhao ◽  
Jianrong Hou

Tourism supply chain management has become an important research topic as individual firms no longer compete as isolated entities but rather as supply chains in the tourism industry. Despite the evidence that benefits can be gained to improve profitability, competitiveness, and customer satisfaction, the research on how to manage the tourism supply chain is very limited. This research contributes to the literature by applying the theory of constraints (TOC) with systems thinking to tourism supply chain management. It proposes that the key issue in tourism supply chain management is the coordination of business activities and the TOC with systems thinking can effectively support tourism supply chain coordination of the various links and processes. The article examines the TOC performance measures and the drum–buffer–rope model in the context of tourism management and applies the focusing process of the TOC as a continuous improvement approach for tourism supply chain management. The research findings suggest that, given modifications to the TOC terminology and the principles, the TOC principles can work as an excellent approach to facilitate the tourism supply chain management.


2021 ◽  
Vol 11 (3) ◽  
pp. 1088
Author(s):  
Ten-Suz Chen ◽  
Yung-Fu Huang ◽  
Ming-Wei Weng ◽  
Manh-Hoang Do

Corporate social responsibility (CSR) has witnessed remarkable attention in academic studies as well as being widely conducted in different industries globally. This specific case was chosen as one of the biggest dairy companies that may be represented for Vietnam dairy supply chain management. This research aims to integrate CSR initiatives into food supply chain management to clarify the optimal replenishment policy, paying close attention to the relationship between midstream manufacturers and final customers. The classical economic production quantity model has been employed, relying on the two-stage assembly production system. The three parameters that contribute to the total profit formulation that have been considered consist of the social charity amount for per unit selling, the unit wholesale price of the manufacturer, and the return rate of used goods from the customer. The study has stressed that there is a significant impact from implementing CSR initiatives on the enterprise’s inventory policy that leads to enhance the firm’s financial performance.


2021 ◽  
Vol 40 (5) ◽  
pp. 10145-10162
Author(s):  
Ahmad Bakr Khoshaim ◽  
Muhammad Qiyas ◽  
Saleem Abdullah ◽  
Muhammad Naeem ◽  
Muneeza

This article is an advanced approach to picture fuzzy set through the application of cubic set theory. For instance, we establish the idea of the picture cubic fuzzy sets (PCFSs) theory and define several operations for PCFS. Also, presented some weighted aggregation operators under picture cubic fuzzy information, so called picture cubic fuzzy weighted averaging (PCFWA) operator, picture cubic fuzzy order weighted averaging (PCFOWA) operator, picture cubic fuzzy weighted geometric (PCFWG) operator, and picture cubic fuzzy order weighted geometric (PCFOWG) operator. Further, we study their fundamental properties and showed the relationship among these aggregation operators. In order to determine the feasibility and practicality of the mentioned new technique, we developed multi-attribute group decision -making algorithm with picture cubic fuzzy environment. Further, the developed method applied to supply chain management and for implementation, consider numerical application of supply chain management. Compared the developed approach with other preexisting aggregation operators, and we concluded that the defined technique is better, reliable and effective.


Author(s):  
Ratih Hendayani ◽  
Yudi Fernando

The increasing Halal product demand in the world made the Halal product industry should make sure all companies operation especially companies supply chain could guarantee product Halalness, so companies supply chain should comply Shariah or Islamic law. Some research about Halal supply chain already publish and give various perspectives about this topic. But unfortunately, there are one important thing that not discuss in previous research about Halal supply chain, the one important things is Islamic financial system that actually can support operation of Halal supply chain because based on the Islamic financial concept, the Halal supply chain can be not Halal or barakah if the supply chain financing not also comply with the Islamic law. For the integrated Halal supply chain, need included the Islamic Financial system, and this chapter will discuss Islamic financial that include in the Halal supply chain such as a Halal fund for the supply chain cost and Halal Financial flow. And bring a new perspective and definition of Halal supply chain management.


Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1621
Author(s):  
Irfan Ali ◽  
Armin Fügenschuh ◽  
Srikant Gupta ◽  
Umar Muhammad Modibbo

Vendor selection is an established problem in supply chain management. It is regarded as a strategic resource by manufacturers, which must be managed efficiently. Any inappropriate selection of the vendors may lead to severe issues in the supply chain network. Hence, the desire to develop a model that minimizes the combination of transportation, deliveries, and ordering costs under uncertainty situation. In this paper, a multi-objective vendor selection problem under fuzzy environment is solved using a fuzzy goal programming approach. The vendor selection problem was modeled as a multi-objective problem, including three primary objectives of minimizing the transportation cost; the late deliveries; and the net ordering cost subject to constraints related to aggregate demand; vendor capacity; budget allocation; purchasing value; vendors’ quota; and quantity rejected. The proposed model input parameters are considered to be LR fuzzy numbers. The effectiveness of the model is illustrated with simulated data using R statistical package based on a real-life case study which was analyzed using LINGO 16.0 optimization software. The decision on the vendor’s quota allocation and selection under different degree of vagueness in the information was provided. The proposed model can address realistic vendor selection problem in the fuzzy environment and can serve as a useful tool for multi-criteria decision-making in supply chain management.


2018 ◽  
Vol 197 ◽  
pp. 14003 ◽  
Author(s):  
Andri Ikhwana

This study is aimed at describing the supply chain management of coffee commodity and the role of each of its elements. This study based on the ineffectiveness and inefficiency of coffee commodity business management which involves some elements that caused supply chain for the commodity has not been formed according to the expectation which in turn required a supply chain management able to fix the problem. The supply chain management is described qualitatively using supply chain basic model supported by integrated concepts of supply chain relationship, supply chain configuration, and supply chain coordination. The result of the study reveals that the supply chain management in coffee commodities includes suppliers, gatherers/manufacturers, exporters, and consumers. The distributors play the main role in determining product standards. The relationships between each of supply chain elements have been well established, utilized to distribute the products, and used as a feedback medium if there is a change in quality standards required in accordance with the needs of consumers. To ensure the sustainability of business activities in the supply chain, mutual commitment among the supply chain elements is required especially when it comes to determining the product quality standards and quantity.


Author(s):  
Atour Taghipour

Companies are dependent on the resources and information of other members of the supply chains. To manage their resources, companies use coordination mechanisms. Despite the inter-dependency between logistics actors, they are independent units with conflicting objectives. These two characteristics can increase the complexity of planning in logistics networks. According to the literature of supply chain management, some mechanisms largely use the information shared by members to achieve an optimal solution and some others are based on minimum level of information sharing. This chapter addresses the coordination problem in a logistics networks with more than two partners, while the information is in a private element that is not exchanged with other partners.


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