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Due to uncontrollable factors such as traffic congestion or bad weather conditions, the time taken for the product to be delivered from each production origin is uncertain. As the wholesale market is open for trading only in a fixed\u2010time window, any fresh products arriving earlier face the risk of decay, and any arriving later cannot be sold. The market demand for the product is random and follows a general distribution. We formulate the basic problem as a multi\u2010source selection model with random yield, taking into account the trade\u2010off between purchasing cost and other costs such as deterioration loss arising from delivery uncertainty. We derive the optimal order quantities from different origins and propose algorithms to search for them. We also investigate the effects of delivery uncertainty on service level and transport mode selection. Finally, we examine two extensions. One considers a capacity limit in each production origin, and the other incorporates information updating. For the first extension, we propose algorithms to compute the optimal solution based on its structural properties. For the second problem, we derive the optimal purchasing policy according to updated information such as details of the arrivals of previous\u00a0orders.<\/jats:p>","DOI":"10.1111\/deci.12432","type":"journal-article","created":{"date-parts":[[2020,4,3]],"date-time":"2020-04-03T15:13:51Z","timestamp":1585926831000},"page":"1377-1410","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Optimal Purchasing Policy for Fresh Products from Multiple Supply Sources with Considerations of Random Delivery Times, Risk, and Information"],"prefix":"10.1111","volume":"51","author":[{"given":"Xiaolin","family":"Xu","sequence":"first","affiliation":[{"name":"School of Business Nanjing University Nanjing 210093 P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoqiang","family":"Cai","sequence":"additional","affiliation":[{"name":"Shenzhen Key Laboratory of IoT Intelligent Systems and Wireless Network Technology The Chinese University of Hong Kong Shenzhen 518000 P.R. China"},{"name":"The Shenzhen Research Institute of Big Data Shenzhen 518000 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0002-8626-1847","authenticated-orcid":false,"given":"Lianmin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Management and Engineering Nanjing University Nanjing 210093 P.R. 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