فصلنامه مدیریت زنجیره تامین
پیاپی 69 (زمستان 1399)

Knowledge management evaluation in organizations is a pivotal pillar in achieving vision goals. In the past decade, knowledge in scientific and organizational dimensions has gained considerable attention and knowledge is currently considered as the foundational basis of competition. New organizations are based on knowledge and should be able to create it and use it when necessary. These factors have established a new paradigm in the field of management called “knowledge management”. The purpose of this study is to investigate possible effects of applying knowledge management on wheat supply chain management in Iran State Trading Company using a balanced scorecard. The present research is developmental and applies an evaluation survey model. The statistical population and sample size are 86 managers and deputies of the company at the provincial level, all of whom have been selected for research. Hypotheses were tested by structural equation modeling (SEM) through Smart PLS software and the research findings showed that in the wheat supply chain, there is a positive and significant relationship between the creation, application and transfer of knowledge with financial performance, stakeholders, internal processes and the growth of learning. Additionally, the dimensions of knowledge management had the least impact on the company's financial performance.

Knowledge management evaluation in organizations is a pivotal pillar in achieving vision goals. In the past decade, knowledge in scientific and organizational dimensions has gained considerable attention and knowledge is currently considered as the foundational basis of competition. New organizations are based on knowledge and should be able to create it and use it when necessary. These factors have established a new paradigm in the field of management called “knowledge management”. The purpose of this study is to investigate possible effects of applying knowledge management on wheat supply chain management in Iran State Trading Company using a balanced scorecard. The present research is developmental and applies an evaluation survey model. The statistical population and sample size are 86 managers and deputies of the company at the provincial level, all of whom have been selected for research. Hypotheses were tested by structural equation modeling (SEM) through Smart PLS software and the research findings showed that in the wheat supply chain, there is a positive and significant relationship between the creation, application and transfer of knowledge with financial performance, stakeholders, internal processes and the growth of learning. Additionally, the dimensions of knowledge management had the least impact on the company's financial performance.

In this research, the issue of open location and routing in the four-tier supply chain, including suppliers, manufacturers, distribution centers and retailers, is addressed using a multi-objective mathematical model and taking into account the factors of sustainable development. Material transportation between all levels is direct and is routed between distribution centers and customers as well as manufacturers with customers. The flow of raw materials between suppliers and producers will be based on the technical specifications of the final products. In other words, for each final product, the required composition of raw materials is determined as the input parameter and based on that, the required amount of raw materials for the production of each product is estimated. In many studies, it is assumed that the vehicles are assets to the organization and must return to the distribution center after providing the service. In distribution centers, in order to create flexibility in meeting customer demand, different capacity levels are considered, with the employment of each capacity level having different environmental and social effects and are solved using the mathematical model of the Epsilon constraint method in small dimensions. NSGAII, PESAII and MOGWO meta-heuristic algorithms have been used to solve large-scale problems.

Since its emergence, Mining industries have played a rather significant role in every dimension of human and economic development. The industry’s expansion can act as a key factor in the development of any given country. While such developments can bring numerous advantages, it has negative impacts on the surrounding environment and attempts in minimizing any negative environmental outcome have been made. Supply chain embodies all activities related to the flow and conversion of goods and moreover, flow of information from the stage of minerals’ extraction to the delivery of goods to consumers. This thesis, which employs a multi-objective optimization design for optimizing waste management in sustainable supply chain case study in ballast stone mine, has three objectives. The first objective is to minimize the cost of installation and transportation, thereby achieving economic process refinements. The second objective is minimizing the production of Co2 gas through transportation and production process, hence reducing environmental complications and the third objective is achieving technological improvements by reducing the product quality deviation. The aforementioned model is solved using the GAMZ software by LP metric method. The results show the overall cost of the ballast stone and waste, concerning fixed costs and transportation costs in sending them to the customers on request, the amount of CO2 emissions, and the extent of total deviations of quality goals for each parameter between the extracted mineral and the products delivered to the customers.

Supplier Evaluation is one of the most important decision processes in supply chain management; having different selection criteria beyond price, quality and delivery time. Realizing the importance of this process for the industry, the purpose of the present study is to use two decision making analysis techniques to provide a flexible framework for evaluating and selecting suppliers. Based on the challenge of Nian Electronic Company to the need to revise the supplier evaluation process, the proposed framework of the present research was implemented in this organization. In this way, a team of experts was selected to provide the required data set to implement the proposed research framework in four areas: selection of criteria set, their pairwise comparisons, significance level of each criterion and scoring to suppliers. The code for executing the criteria weighting phases and ranking the alternatives was written in MATLAB software. All of the present research data and the proposed framework is applicable to any industrial context. In order to test the proposed framework, a numerical example was solved and the supplier ranking results were presented

The design of sustainable supply chain networks has attracted more attention in recent years as it encompasses all three economic, social and environmental factors at the same time. The lean philosophy is to achieve a system that is free from any waste. There are different techniques to implement lean in the organization. Each of these techniques, through their effects, helps the organization to improve sustainability performances of the overall business. This paper proposed a multi objective mixed integer nonlinear programing for sustainable supply chain network design using lean techniques. The proposed model is aimed at maximizing social benefits while minimizing economic costs and environmental impacts. In this paper, 10 lean techniques with the effects of each are introduced, which calculate the impact of each of these techniques on different aspects of sustainability. we introduce a solution procedure based on linearization . Finally, a single aggregated objective function is derived using a fuzzy goal programming approach. In addition, sensitivity analysis is conducted to provide deeper understanding of the proposed model. The results show that lean implementation in supply chain design reduces costs, helps the organization to improve sustainability performances, and gives better results when compared to the non-compliant state.