2016
DOI: 10.1007/s00291-015-0429-4
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Simultaneous lotsizing and scheduling problems: a classification and review of models

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Cited by 145 publications
(83 citation statements)
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“…Good overviews on the research in this area have been compiled, for example, by Drexl and Kimms (1997), Karimi et al (2003), and Jans and Degraeve (2008). Recently, Copil et al (2017) have proposed a classification system for simultaneous lot sizing and scheduling problems.…”
Section: Related Workmentioning
confidence: 99%
“…Good overviews on the research in this area have been compiled, for example, by Drexl and Kimms (1997), Karimi et al (2003), and Jans and Degraeve (2008). Recently, Copil et al (2017) have proposed a classification system for simultaneous lot sizing and scheduling problems.…”
Section: Related Workmentioning
confidence: 99%
“…(Drexl and Kimms, 1997) makes a chronology of existing lot-sizing problems. A recent review of lot-sizing problems is done in (Copil et al, 2016).…”
Section: Considered Problemmentioning
confidence: 99%
“…The models have a set of constraints that represent the main process limitations found in Stages I and II, as well as the decisions that integrate both stages. According to the literature, this paper deals with a multilevel lotsizing problem with sequence-dependent setup times and costs between the production of different items in different parallels filling lines (Almada-Lobo et al [3] and Copil et al [4]). The logical structure of each mathematical model is shown in Figure 2(a).…”
Section: (I) Liquid Preparation (Stage I)mentioning
confidence: 99%
“…The recent literature reviews by Almada-Lobo et al [3] and Copil et al [4] highlight an increasing interest in simultaneous lot-sizing and scheduling problems in many companies, resulting in researches motivated by industrial practical applications, such as glass container [5], animal nutrition [6], soft drink [7], wood floor [8], pulp and paper mill [9], food [10], automotive applications [11], supermarkets [12], and thin film transistor and liquid crystal display [13]. In these studies different models are used to represent lot-sizing and scheduling problems with sequence-dependent setups.…”
Section: Introductionmentioning
confidence: 99%