LEADER 05660nam 22006135 450 001 9910337783003321 005 20200629121839.0 010 $a3-030-01222-0 024 7 $a10.1007/978-3-030-01222-9 035 $a(CKB)4100000007389484 035 $a(DE-He213)978-3-030-01222-9 035 $a(MiAaPQ)EBC5629335 035 $a(PPN)233801782 035 $a(EXLCZ)994100000007389484 100 $a20190104d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCapacitated Lot Sizing Problems in Process Industries /$fby Ravi Ramya, Chandrasekharan Rajendran, Hans Ziegler, Sanjay Mohapatra, K. Ganesh 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXXV, 196 p. 41 illus.) 311 $a3-030-01221-2 327 $aChapter 1. Introduction -- Chapter 2. CLSP: Real Life Applications and Motivation to Study Lot Sizing Problems in Process Industries -- Chapter 3. Capacitated Lot Sizing Problem with Production Carryover and Setup Crossover Across Periods (CLSP:PCSC): Mathematical Model 1 (MM1) and A Heuristic for Process Industries -- Chapter 4. Further Development: Mathematical Model 2 (MM2) and A Comprehensive Heuristic for Capacitated Lot Sizing Problem with Production Carryover and Setup Crossover Across Periods for Peocess Industries -- Chapter 5. Capacitated Lot Sizing Problem with Production Carryover and Setup Crossover Across Periods Assuming Sequencedependent Setup Times and Setup Costs (CLSP-SD-PCSC): Mathematical Models for Process Indusctries -- Chapter 6. Summary Concerning Theoretical Developments. 330 $aThis book examines the Capacitated Lot Sizing Problem (CLSP) in process industries. In almost all process industries, there are situations where products have short/long setup times, and the setup of the product and its subsequent production are carried over, across consecutive periods. The setup of a product is carried over across more than one successive period in the case of products having long setup times. A product having short setup has its setup time less than the capacity of the period in which it is setup. The setup is immediately followed by its production of the product and it may also be carried over, across successive time period(s). Many process industries require production of a product to occur immediately after its setup (without the presence of idle time between the setup and production of the product), and they also require the product to be continuously produced without any interruption. This book considers a single-machine, single-level and multiple-item CLSP problem. This book introduces the Capacitated Lot Sizing Problem with Production Carryover and Setup Crossover across periods (CLSP-PCSC). Mathematical models are proposed which are all encompassing that they can handle continuous manufacturing (as in process industries), and also situations where the setup costs and holding costs are product dependent and time independent/time dependent, with possible backorders, and with other appropriate adaptations. Comprehensive heuristics are proposed based on these mathematical models to solve the CLSP-PCSC. The performance of the proposed models and heuristics are evaluated using problem instances of various sizes. This book also covers mathematical models developed for the Capacitated Lot Sizing Problem with Production Carryover and Setup Crossover across periods, and with Sequence-Dependent Setup Times and Setup Costs (CLSP-SD-PCSC). These models allow the presence of backorders and also address real-life situations present in process industries such as production of a product starting immediately after its setup and its uninterrupted production carryover across periods, along with the presence of short/long setup times. Heuristics proposed for the CLSP-PCSC can be extended to address the CLSP problem with sequence dependent setup costs and setup times. All the models and heuristics proposed in this book address some real-life considerations present in process industries. 606 $aProduction management 606 $aIndustrial engineering 606 $aProduction engineering 606 $aOperations research 606 $aDecision making 606 $aProduction$3https://scigraph.springernature.com/ontologies/product-market-codes/519010 606 $aIndustrial and Production Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T22008 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 615 0$aProduction management. 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 0$aOperations research. 615 0$aDecision making. 615 14$aProduction. 615 24$aIndustrial and Production Engineering. 615 24$aOperations Research/Decision Theory. 676 $a658.5 676 $a658.56 700 $aRamya$b Ravi$4aut$4http://id.loc.gov/vocabulary/relators/aut$0937889 702 $aRajendran$b Chandrasekharan$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZiegler$b Hans$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aMohapatra$b Sanjay$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aGanesh$b K$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910337783003321 996 $aCapacitated Lot Sizing Problems in Process Industries$92112850 997 $aUNINA