{"title":"A TOPSIS, VIKOR and DEA integrated evaluation method with belief structure under uncertainty to rank alternatives","authors":"A. Amini, A. Alinezhad, Fahimeh Yazdipoor","doi":"10.1504/IJAOM.2019.10021910","DOIUrl":"https://doi.org/10.1504/IJAOM.2019.10021910","url":null,"abstract":"This study proposes a combined method, based on a new compromised solution method and DEA to evaluate the efficiency of DMUs. By using TOPSIS and VIKOR methods two concepts are considered simultaneously. First, the optimal alternative is closer to positive ideal solution and farther from negative ideal solution. Second, the proposed method provides a maximum 'group utility' for the 'majority' and a minimum of an individual regret for the 'opponent'. In this method, weight of efficiency obtained from new compromised solution method is multiplied by the weight of CCR model of DEA. The problem involves BELIEF parameters in the solution procedure. Thus, the new proposed method that applied the advantages of TOPSIS, VIKOR and DEA and BELIEF structure simultaneously was used as a group decision making problem to exploit many experts' judgments. Finally, to illustrate the proposed method, an illustrative example is provided.","PeriodicalId":191561,"journal":{"name":"Int. J. Adv. Oper. Manag.","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115553838","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}
{"title":"Exploring the relationships between continuous improvement and predictive analytics","authors":"B. Galli, L. Ocampo","doi":"10.1504/IJAOM.2019.10021911","DOIUrl":"https://doi.org/10.1504/IJAOM.2019.10021911","url":null,"abstract":"This study aimed to examine the elements and applications of predictive analytics (PA) models within the field of continuous improvement (CI). While the roles of data science, PA, and big data have been explored in the current literature (e.g., supply chain management), fragmented insights scarcely exist concerning the role of PA on CI initiatives. Articles concerning the role of PA and BI in CI projects were utilised in a systematic literature review. Furthermore, the paper stresses the vital role that big data analytics plays in both CI and PA during decision-making. The paper studies other important CI and PA aspects that pertain to continuous improvement projects, which are aspects that are often overlooked in the existing literature. The findings from this study emphasise the critical role that PA tools and concepts can and should have in CI initiatives. Critical organisational and operational structures also need to be implemented to establish and maintain the use of PA tools and concepts in CI initiatives. Overall, this paper serves to fill the gap that overlooks the relationship between these two variables.","PeriodicalId":191561,"journal":{"name":"Int. J. Adv. Oper. Manag.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133598185","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}
{"title":"Optimising the financial performance of supply chain - a case study","authors":"P. G. Saleeshya, Vinayak Rajan, N. Premkumar","doi":"10.1504/IJAOM.2019.10021913","DOIUrl":"https://doi.org/10.1504/IJAOM.2019.10021913","url":null,"abstract":"This paper is an outcome of a study carried out in a brake manufacturing company in India. The objective of this paper is to strengthen the financial supply chain by eliminating the non-value added elements. Value stream mapping has been used to eliminate the non-value added processes which reduced the production lead time. Based on our inventory analysis, financial ratios were obtained and further analysed to bring out the performance indicators, thus enabling us to improve the overall efficiency of the supply chain. The 0-1 knapsack methodology enabled us to optimise the value of goods flowing through the processes with outputs showing a commendable increase in the financial chain of the process. Finally, we have developed a data envelopment analysis model which helps companies to have better insight and to prioritise its units for effective deployment of resources amongst various units so as to increase its efficiency to maximum level.","PeriodicalId":191561,"journal":{"name":"Int. J. Adv. Oper. Manag.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131632891","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}
{"title":"Time-cost trade-off in a multi index bi-criteria fixed charge transportation problem","authors":"Sungeeta Singh, R. Tuli, Deepali Sarode","doi":"10.1504/IJAOM.2019.10021912","DOIUrl":"https://doi.org/10.1504/IJAOM.2019.10021912","url":null,"abstract":"This paper is motivated by the necessity of finding efficient time-cost trade-off pairs for multi index bi-criteria fixed charge transportation problem wherein time criteria assumes greater significance than cost criteria and is therefore minimised first. So far no study on finding optimal time-cost pairs of the problem has been undertaken, a gap which the newly developed algorithm aims to fulfil. Results of a numerical illustration are obtained by the proposed algorithm by applying extended Vogel's approximation method and extended modified distribution method; it has been observed that the proposed algorithm is a far better alternative in problems in which time minimisation holds priority over cost minimisation.","PeriodicalId":191561,"journal":{"name":"Int. J. Adv. Oper. Manag.","volume":"133 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120989105","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}
M. Bortolini, F. G. Galizia, M. Gamberi, Cristina Mora, F. Pilati
{"title":"Enhancing stock efficiency and environmental sustainability goals in direct distribution logistic networks","authors":"M. Bortolini, F. G. Galizia, M. Gamberi, Cristina Mora, F. Pilati","doi":"10.1504/IJAOM.2019.10019911","DOIUrl":"https://doi.org/10.1504/IJAOM.2019.10019911","url":null,"abstract":"In modern business, industrial companies embrace lean philosophy to increase their efficiency moving toward the so-called continuous improvement of industrial processes. In parallel, according to the international regulations and stakeholder pressures, rising attention is toward sustainable environmental, i.e., green, practices. A relevant scientific area addresses the topic of matching lean management (LM) and green management (GM) principles within logistics, from a quantitative and optimised perspective. This paper follows this stream and proposes a bi-objective model optimising stock efficiency and environmental sustainability in the design of direct distribution logistic networks. The former goal belongs to LM, the latter belongs to GM. The model application to an Italian case study showcases its benefit reducing the average stock without a relevant increase of the emissions due to frequent replenishments. A cost analysis of the results completes this paper to include the economic dimension within the study boundaries.","PeriodicalId":191561,"journal":{"name":"Int. J. Adv. Oper. Manag.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128755922","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}
{"title":"Exploring ecosystem network analysis to balance resilience and performance in sustainable supply chain design","authors":"Vitor De Souza, J. Bloemhof-Ruwaard, M. Borsato","doi":"10.1504/IJAOM.2019.098525","DOIUrl":"https://doi.org/10.1504/IJAOM.2019.098525","url":null,"abstract":"Sustainable Supply Chain Design can be performed using optimization strategies for minimizing environmental impacts while maximizing profit. It is not clear how such strategies influence the resilience of a supply chain its ability to cope with disruptions without compromising its function. This research used the Ecosystem Network Analysis (ENA), a model from Ecological Economics, to evaluate the resilience during the design of a sugar beet supply chain. The Ɛ-constraint method was used to solve a multi-objective, mixed-integer linear programming model (MOMILP). Results showed that ENA results are compromised when the strategy of minimizing environmental impacts is used, due to the increased fragility of the configuration, compared with the configuration from the profit maximization strategy. Sensitivity analysis also revealed that, when the number of facilities is increased, ENA results improve while profit is decreased. ENA showed an interesting potential to support the pursuit of balance between resilience and performance, bringing insights during early design stages.","PeriodicalId":191561,"journal":{"name":"Int. J. Adv. Oper. Manag.","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116779144","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}
{"title":"The effect of IT integration on improving agility, integration and performance of supply chain","authors":"R. Samizadeh, Saedeh Aghagoli, S. Vatankhah","doi":"10.1504/IJAOM.2019.10019912","DOIUrl":"https://doi.org/10.1504/IJAOM.2019.10019912","url":null,"abstract":"In recent decades, companies have been trying to use various methods and means to meet customer's needs quickly in order to survive in competitive market and gain more profit. To reach this purpose, information technology has acted as an enabler in different parts of the supply chain and companies. Although there is a wide range of researches investigating the role of IT on supply chain performance (SCP), the literature review has had many gaps. The contribution of this work in comparison with previous models is the impact of studies simultaneously: 1) IT integration; 2) agility and integration on the performance which has not studied until now. This study proposed a new conceptual model to analyse the direct and indirect effect of these items on each other. In addition, a discussion about integrity and agility of the supply chain is a new issue in the Iranian market.","PeriodicalId":191561,"journal":{"name":"Int. J. Adv. Oper. Manag.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115577351","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}
{"title":"Trade-off among lean, agile, resilient and green paradigms: an empirical study on pharmaceutical industry in Jordan using a TOPSIS-entropy method","authors":"Taghrid Suifan, M. Alazab, Salah Alhyari","doi":"10.1504/IJAOM.2019.10019905","DOIUrl":"https://doi.org/10.1504/IJAOM.2019.10019905","url":null,"abstract":"This study proposes an integrated multi-criteria decision analysis method (MCDM) to analyse trade-offs among different supply chain management (SCM) paradigms associated with competitive priorities. The study employs the entropy method to derive the alternative weights of the evaluation criteria. The study also employs the technique for order of preference by similarity to ideal solution (TOPSIS) to rank feasible alternatives in order of preference, and then measure trade-offs among the conflicting objectives. A sensitivity analysis is performed to confirm the robustness of the proposed model. An empirical study approach is used to identify the trade-offs in the pharmaceutical supply chains context. The results indicate that the TOPSIS and entropy methods can be utilised in a multi-decision analysis process in which SCM paradigms should be implemented in order to positively influence the competitive position. The findings also reveal that competitive priorities differ between each paradigm. For the pharmaceutical industry of Jordan, the sequence of competitive priorities that arise from this study is thus: first 'quality' should be developed, then 'know-how', 'flexibility', 'delivery', 'customer focus', 'innovation', and finally, 'cost'. This finding represents that, the competitive priority that is most affected by the SCM paradigms is the 'quality' priority.","PeriodicalId":191561,"journal":{"name":"Int. J. Adv. Oper. Manag.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126501934","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}
{"title":"Which practices are lean, agile and resilient? Literature review and practitioners' perspective","authors":"M. Lotfi","doi":"10.1504/IJAOM.2019.098522","DOIUrl":"https://doi.org/10.1504/IJAOM.2019.098522","url":null,"abstract":"The need to be lean in terms of cost effectiveness, agile in terms of customer responsiveness and resilient in terms of being aware of risks and becoming ready to encounter them and passing them in the best way possible, is an undeniable issue in the supply chain. While the three concepts seem to overlap, they also have some distinct parts and this causes the confusion presented in both the literature and practice. The purpose is then to clarify the boundaries of the three concepts to reduce this confusion. The research is empirical. Survey data were collected from 185 companies from different industries in Germany. In line with literature, this empirical research shows that there are some practices that purely affect leanness, agility or resilience and there are other practices that affect leanness and agility both, agility and resilience both and finally the three of leanness, agility and resilience.","PeriodicalId":191561,"journal":{"name":"Int. J. Adv. Oper. Manag.","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127264932","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}
{"title":"Green optimisation for LRP problem using a genetic algorithm and a dynamic island model","authors":"Zineb Benotmane, Ghalem Belalem, A. Neki","doi":"10.1504/IJAOM.2019.10019915","DOIUrl":"https://doi.org/10.1504/IJAOM.2019.10019915","url":null,"abstract":"It has grown quite conspicuous that no company is immune to the increase in fuel prices and energy sources used for air conditioning, refrigeration and heating, as well as traffic congestion and the degradation of road infrastructures. It is for this reason that companies are increasingly concerned about energy and environmental issues and are, therefore, more aware of the need to revise their logistics for the purpose of reducing costs and increasing competitiveness. In order to minimise the energy costs associated with transportation, it is sensical to consider a two-echelon location routing problem (2E-LRP) where two distribution levels are composed of three disjoint sets of nodes corresponding to the depots, the distribution centres and the customers, respectively. For this, we propose a mathematical model, a genetic algorithm, and a dynamic island model to optimise the assignment and the routing of freight. Eventual results show a minimisation of energy cost and CO2 rate.","PeriodicalId":191561,"journal":{"name":"Int. J. Adv. Oper. Manag.","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124838446","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}