{"title":"Evaluating Supply Chain Network Designs: An Approach Based on SNA Metrics and Random Forest Feature Selection","authors":"Sara Akbar Ghanadian, Saeed Ghanbartehrani","doi":"10.37256/ujom.1120221014","DOIUrl":"https://doi.org/10.37256/ujom.1120221014","url":null,"abstract":"Supply chain network design is an important decision-making problem affecting the long-term profitability of firms. Evaluating the performance of supply chain network designs can help decision-makers to select the network configuration that meets the business specifications while operating at a reasonable cost. In this study, Social Network Analysis (SNA) metrics are used to evaluate the performance of closed-loop supply chain (CLSC) Network designs in terms of resilience when exposed to disruptions and the balance of flows. CLSC Networks accommodate the flow of returned products from the customers for recycling, remanufacturing, or disposal, increasing the design complexity compared to traditional supply chain networks. The proposed approach involves custom-designed network-level SNA metrics and random forest (RF) feature selection which are computationally low-cost approaches. The proposed metrics are implemented in an R package titled NetworkSNA and shared on GitHub, and RF feature selection method is performed in python. The optimal and near-optimal network designs from a CLSC Network based on real data are used as a case study. The metric values are interpreted into practical recommendations to compare the alternative CLSC Networks.","PeriodicalId":170563,"journal":{"name":"Universal Journal of Operations and Management","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129649970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Giannopoulos, Aikaterini Pramatari, G. Doukidis
{"title":"Influencing Factor Analysis for the Implementation of Transport Research Results","authors":"A. Giannopoulos, Aikaterini Pramatari, G. Doukidis","doi":"10.37256/ujom.112022996","DOIUrl":"https://doi.org/10.37256/ujom.112022996","url":null,"abstract":"This paper investigates the conditions and factors that influence the decision to proceed to the implementation of the results of a given research project and (eventually) produce innovation. It does this with reference to research projects in the transport sector, especially Intelligent Transport Systems (ITS), by an investigation in two fronts. On the one hand, by a number of in-depth interviews with well-known experts in the field of transport and on the other by a comprehensive statistical analysis of the results of a pan-European questionnaire survey conducted among transport entities involved in, or related with, transport research. This investigation resulted in a number of interesting factors and conditions that seem to be influencing the (decision for the) implementation of research results in the ITS sector. These factors were derived from a longer list of initial potentially influencing factors that was formulated by our face-to-face interviews as well as an extensive bibliographic search of relevant previous work. Our analysis pointed as the most significant influencing factors: the so-called knowledge assimilation capability of the entity i.e., its ability to analyse, interpret and understand externally acquired knowledge; its ability to exploit new knowledge by changing its processes and adapting them for exploitation; its size; its research experience; familiarity (good working relations) with other research project partners; and issues relating to the thus called “implementation environment” e.g., the customisation and standardisation requirements; the ease with which new business models and entities can be formed and accepted; and the existence of substantial private funds interested in investing in research and innovation activities. Existence of an experienced team and especially the involvement of senior personnel in the research project itself, also plays an important role for the subsequent exploitation/implementation of the results of this research. The results of the study presented in this paper, can help in the planning and setting of the rules of operation (i.e., the terms of reference) for publicly funded research programmes as well as in setting incentives and procedures that would enhance and promote increased implementation of research results in the future.","PeriodicalId":170563,"journal":{"name":"Universal Journal of Operations and Management","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124825707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}