Устойчивое управление цепями поставок: терминологические аспекты
This book consists of selected papers presented in the framework of the 17th International Conference on Perspectives in Business Informatics Research (BIR 2019), held in Katowice, Poland, September 23–25, 2019. The BIR conference series was established 17 years ago as the initiative of some German and Swedish universities with the aim of supporting the global forum for researchers in business informatics for their collaboration and exchange of results.
In this article using the integral method of analysis (IMA) the impact of various factors on the total logistics costs was assessed and future research directions of the application of the IMA were indicated.
Supply chain management is rather new scientific field that reflects the concept of integrated business planning. This concept should be experts and practitioners in logistics and strategic management. Today, integrated planning to become a reality thanks to the development of information technology and computer technology. At the same time to achieve a competitive advantage is not enough high-speed, low-cost data transfer process. In order to effectively apply information technology tools necessary to develop a quantitative analysis of the effectiveness of supply chain management. The mam element of this tool are optimization models that reveal the complex interactions, the wave and the synergies that arise in supply chain management. In this article we consider one of the classes of such models - the so-called dynamic models of conveyor systems, processing of applications.
This book consists of selected papers presented in the framework of the 16th International Conference on Perspectives in Business Informatics Research (BIR 2018), held in Stockholm, Sweden, September 24-26, 2018. The BIR conference series was established 16 years ago as the initiative of some German and Swedish universities with the aim of supporting the global forum for researchers in business informatics for their collaboration and exchange of results.
This article reviews the modern approaches to the analysis of conflict situations in a supply chain. Four main areas of conflict analysis are identified and discussed in the paper: mathematical methods, hierarchical analysis, total cost modeling business processes.
According to various estimates global GDP is about 60-70 trillion dollars, at the same time the costs of logistics in the world accounts for 12 trillion dollars per year. These figures are comparable to costs associated with armaments, public health service and other important areas of human activity.
Consequently, the search of practical ways and development of effective mechanisms for reducing logistics costs is a major problem, the solving of which will improve efficiency and competitiveness of enterprises. Thus, the purpose of this paper is the development of methods and models for EOQ calculation in supply chains as well as development of matrix of decision-making for the design of new modified EOQ models, designed to optimize logistics costs of companies in supply chains.
One of the main goal of any industrial company is making profit by producing high quality and competitive products. Mostly, the production of meat industry enterprises are not a complete cycle, companies are divided into farms which are specialized in cultivation of livestock and poultry, slaughters and meet processing plants. The latters are the final link in the chain of supply of animal origin raw materials. For these companies it is important to establish a procurement process so that to have a sufficient number of fresh high-quality resources for production and to minimize losses releated with forced sales, often with a discount, the damage of excessive amount of purchased raw materials and also avoid unnecessary costs associated with their storage. This problem will be discussed in this article.
We study capacity disruption and recovery policy impacts on supply chain (SC) performance. Discrete event simulation methodology is used for analysis with real company data and real disruptions. Two novel findings are shown. First, disruption-driven changes in SC behaviour may result in backlog and delayed orders, the accumulation of which in the post-disruption period we call ‘disruption tails’. A transition of these residues into the post-disruption period causes the postdisruption SC instability, resulting in further delivery delays and non-recovery of SC performance. Second, a smooth transition from the contingency policy through a special ‘revival policy’ to the normal operation mode allows the negative effects of the disruption tails to be partially mitigated. These results suggest three managerial insights. First, contingency policies need to be applied during the disruption period to avoid disruption tails. Second, recovery policies need to be extended towards an integrated consideration of both disruption and the post-disruption periods. Third, revival policies need to be developed for the transition from the contingency to the disruption-free operation mode. A revival policy intends to mitigate the negative impact of the disruption tails and stabilize the SC control policies and performance. The experimental results suggest the revival policy should be included in the SC resilience framework if the performance cannot be recovered fully after the capacity recovery.