{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T11:51:41Z","timestamp":1713181901151},"reference-count":24,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2020,10,26]],"date-time":"2020-10-26T00:00:00Z","timestamp":1603670400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Decision Sciences"],"published-print":{"date-parts":[[2022,4]]},"abstract":"ABSTRACT<\/jats:title>Designing effective settings for performance measures (e.g., fill rate) of a service\u2010level agreement (SLA) is challenging. This challenge is intensified when a firm adopts the pooling inventory model to allocate inventory\/capacity to multiple buyers. Each buyer has its own service\u2010level contract outlining the required service level, the penalty structures, and the performance review period (PRP) length, which might not be the same as other buyers. This means the supplier requires an effective resource allocation policy whereby the different requirements of multiple buyers are integrated into a pooling model and capacities\/inventories are allocated in the most effective way. Given a base\u2010stock replenishment policy and finite time horizon PRP, in this study we propose two new (anticipative) allocation policies\u2014foresight linear programming (FLP) and two\u2010stage stochastic (TS)\u2014and compare them with existing allocation policies. These allocation policies are developed for different penalty structures of linear, lump\u2010sum, hybrid, and no\u2010penalty settings. Results show that suppliers benefit from longer PRPs if linear or hybrid penalty structures are employed. We also find that when the length of PRP of buyers is not identical, TS is the recommending policy. Further, results provide a guideline for selecting the best resource allocation policy under various SLA terms, in particular, where buyers' PRP lengths are not identical.<\/jats:p>","DOI":"10.1111\/deci.12493","type":"journal-article","created":{"date-parts":[[2020,10,26]],"date-time":"2020-10-26T15:52:34Z","timestamp":1603727554000},"page":"277-319","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Allocation Policies to Fulfil Heterogeneous Service Requirements under Resource Pooling"],"prefix":"10.1111","volume":"53","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-4332-2662","authenticated-orcid":false,"given":"Babak","family":"Abbasi","sequence":"first","affiliation":[{"name":"Department of Information Systems and Business Analytics RMIT University Melbourne VIC 3000 Australia"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-8087-196X","authenticated-orcid":false,"given":"Masih","family":"Fadaki","sequence":"additional","affiliation":[{"name":"Department of Supply Chain Management and Logistics RMIT University Melbourne VIC 3000 Australia"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-1064-9079","authenticated-orcid":false,"given":"Zahra","family":"Hosseinifard","sequence":"additional","affiliation":[{"name":"Faculty of Business and Economics The University of Melbourne Melbourne VIC 3010 Australia"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-7091-6060","authenticated-orcid":false,"given":"Hamed","family":"Jahani","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Business Analytics RMIT University Melbourne VIC 3000 Australia"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-2026-1780","authenticated-orcid":false,"given":"Douglas J.","family":"Thomas","sequence":"additional","affiliation":[{"name":"Darden School of Business University of Virginia Charlottesville VA 22903 USA"}]}],"member":"311","published-online":{"date-parts":[[2020,10,26]]},"reference":[{"key":"e_1_2_9_2_1","first-page":"1","article-title":"Finite time horizon fill rate analysis for multiple customer cases","volume":"76","author":"Abbasi B.","year":"2018","journal-title":"Omega (United Kingdom)"},{"key":"e_1_2_9_3_1","unstructured":"Advance Auto Parts(2019). 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