This　study　examines　a　location-inventory-routing　problem　in　a　closed-loop　supply　chain　(LIRP-CL)　that　considers　random　demands,　as　well　as　random　returns,　from　customers.　In　reality,　some　of　the　returned　products　can　be　remanufactured　as　new　products,　and　they　share　the　same　channel　with　new　products.　This　practice　renders　previous　models　no　longer　appropriate.　We　consider　this　practice　in　this　paper　and　build　a　new　LIRP-CL　system.　To　minimize　the　total　costs　of　the　system,　this　paper　determines　the　locations　of　distribution　centers　and　remanufacturing　centers,　the　inventory　level　of　the　system,　and　the　delivery　routes　from　distribution　centers　to　customers　and　from　customers　to　remanufacturing　centers.　A　mixed　integer　nonlinear　model　was　developed　to　solve　this　problem.　To　solve　the　model,　a　novel　hybrid　heuristic　algorithm　based　on　tabu　search　and　simulated　annealing　is　proposed.　The　computational　results　and　sensitivity　analysis　are　presented.　In　addition,　some　managerial　insights　are　proposed.　©　2018　The　Authors.　International　Transactions　in　Operational　Research　©　2018　International　Federation　of　Operational　Research　Societies