چكيده به لاتين
Nowadays, developing information and communication infrastructures helped outbound resources be considered as core competency advantages in many companies. In this regard, some concepts such as crowdsourcing and open innovation have been defined to solve the companies’ challenges using the outbound capabilities. In this thesis, open supply chain management concept was introduced based on the participation of outside individuals in various supply chain processes such as procurement, design, production, distribution, marketing and sales. On the other hand, due to the importance of product design process in the development of competitive markets, this study focus on receiving, evaluating and applying innovative ideas and designs from the organization outside environment. Therefore, the main purpose of this research is to integrate the product design process with other supply chain processes in the form of supply chain master planning problem.
To achieve this purpose, three scenarios were investigated. In the first scenario, to model the problem, a fuzzy nonlinear programming approach is used in which the designs are received from designers in a block chain platform, designs evaluated and delivered to customers in a mid-term planning horizon. In second scenario, uncertainty of input parameters regarding to open innovation consideration is demonstrated in the form of hybrid robust optimization problem. Moreover, financing planning problem as well as benefiting ambidexterity purposes are presented in this scenario. In the third scenario, the study presents the planning problem in which the customers design the favorite patterns for self-consumption. Therefore, this scenario presents a simulation-based optimization approach for short-term planning horizon. Furthermore, to increase the efficiency of optimization process and enhancing the solving procedure in large-scale problems, a novel meta-heuristic algorithm called Electron Radar Search Algorithm has been developed.
The results showed, the C&D costs consist of only 1% percent of supply chain total costs which is much lower than the 7% cost of the R&D process. On the other hand, using a blockchain platform to register ithe input designs can enhance the supply chain's profit by 41%. Furthermore, benefiting a hybrid robust optimization model increase the supply chain profit more than 6%. Moreover, the results of the simulation-based optimization model showed that 84% of customers who design their patterns online, finalize their order on average. This percentage was calculated to be 58% and 99%, respectively, in cases where the objectives of increasing chain revenue and increasing customer satisfaction are considered separately.
