{"title":"Alternative shipment policies compared for an international supply chain model with stochastic exchange rate, carbon emission and imperfect quality items","authors":"Harun ÖZTÜRK","doi":"10.1016/j.smse.2022.100002","DOIUrl":"https://doi.org/10.1016/j.smse.2022.100002","url":null,"abstract":"<div><p>Researchers have recently developed a model for international supply chains for transferring lots in equal-sized batches, taking environmental concerns into account. This scheme incorporated stochastic behaviour of the exchange rate between the vendor's and buyer's currencies as part of the process for making optimal decisions on the supply chain. They demonstrated that their model leads to a decrease in the total cost. However, a lower total cost can be achieved by synchronizing the integrated production flow through generalization of the batch transfer method used to deliver the lot. Furthermore, there seems to be a better fit from a new data set for comparing two currencies. With these developments in mind, we suggest an alternative model, considering transferring batches of unequal sizes, transfer costs that may be fixed or variable, and with an eye on environmental issues. Numerical experiments are presented to demonstrate the proposed model and solution method. These numerical experiments show the value of this integrated approach in the combined determination of optimal policies for production and shipment. Suggestions for further research are given in the conclusion.</p></div>","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"1 ","pages":"Article 100002"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667344422000020/pdfft?md5=fc6da97b40f4edfa2e64f62e5cd7f125&pid=1-s2.0-S2667344422000020-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72282855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Buyer–supplier relationships and environmental sustainability in developing regions: Field evidence from Zimbabwe's private telecommunication sector","authors":"Tinotenda Fredrick Munyimi","doi":"10.1016/j.smse.2022.100004","DOIUrl":"https://doi.org/10.1016/j.smse.2022.100004","url":null,"abstract":"<div><p>There is increasing global call by various stakeholders on adherence to environmental sustainability. This need to adherence has prompted organisations to partner with suppliers to address the environmental sustainability agenda. The telecommunication sector is not excluded in this endeavour to push the frontier for environmental sustainability to greater heights. The purpose of this research is to give insights on the input of buyer–supplier relationships to intensify environmental sustainability going forward. The researcher used the questionnaire and interview guide from procurement practitioners in the private telecommunication sector. The empirical result revealed that transactional relationships have the greatest input in environmental sustainability as compared to both strategic alliances and collaborative relationships. Strategic alliances and collaborative relationships yielded positive results when dealing with key suppliers of strategic items. This research contributes to how procurement policy makers and practitioners can optimize telecommunication supply chains towards environmental sustainability for the future. Theoretically, this study shows how buyer-supplier relationships are key to intensify environmental sustainability, thus reducing environmental harm when put into practice.</p></div>","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"1 ","pages":"Article 100004"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667344422000044/pdfft?md5=11ee07479c8ddb8092b7d39447c9fc71&pid=1-s2.0-S2667344422000044-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72282858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment of Agile manufacturing impact on business performance of Indian manufacturing industry: A PLS-SEM approach","authors":"Rahul Kumar , Kanwarpreet Singh , Sanjiv Kumar Jain","doi":"10.1016/j.smse.2022.100001","DOIUrl":"10.1016/j.smse.2022.100001","url":null,"abstract":"<div><p>A limited number of previous studies investigated the impact of agile manufacturing on overall business performance, especially in the Indian context. The study investigates the influence of agile manufacturing attributes, namely: Leadership support, Human related issues, customer-related issues, and Information technology on business performance. The data was collected from 154 manufacturing industries and analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The results show a positive and significant influence of agile manufacturing attributes on the manufacturing industry's business performance.</p></div>","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"1 ","pages":"Article 100001"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667344422000019/pdfft?md5=b7cf6c38707763fa08eabe1335258661&pid=1-s2.0-S2667344422000019-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76415928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}