Prediction of job completion times and optimal overtime allocation for satisfying production due dates

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dc.contributor.advisor Kuhl, Michael - Chair en_US
dc.contributor.advisor Sudit, Moises en_US
dc.contributor.author Liu, Olivia en_US
dc.date.accessioned 2006-11-20T15:29:13Z en_US
dc.date.available 2006-11-20T15:29:13Z en_US
dc.date.issued 2006-11-20T15:29:13Z en_US
dc.identifier.uri http://hdl.handle.net/1850/2822 en_US
dc.description.abstract One of the important aspects contributing to the competitiveness and success of a manufacturer is the efficient management for timely order delivery. After production orders are scheduled, there arises the need of a support tool to aid in the analysis with the available information, and to support managerial decision making which ultimately aims at on-time delivery. One way in which companies can meet due-dates of orders that are in jeopardy of being late, is to schedule overtime. This research presents a method used for 1) predict the completion times of scheduled jobs; and 2) optimizing overtime allocation when delays are foreseen. Mathematical mixed-integer linear program models are developed to represent the above problems for a tandem production line with single machine work stages. Non-operational downtime occurrences are considered in the production horizons which can be varied by work stage. Buffer areas (queues) are also included in the production system. These MILP models are solved using commercial optimizer ILOG-OPL studio. Using VBA script with OPL, a friendly interface is built in MS Excel for ease in user manipulation. The interface can also be used in production test to hypothetical “what if” questions. The models are verified using simulation. Runtime evaluation is also preformed to determine the capabilities and limitations of the models. en_US
dc.format.extent 1296432 bytes en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en_US en_US
dc.subject Allocation en_US
dc.subject Delivery en_US
dc.subject Management en_US
dc.subject Optimal en_US
dc.subject Overtime en_US
dc.subject Production orders en_US
dc.subject Timely en_US
dc.subject.lcc TS157.5 .L48 2006 en_US
dc.subject.lcsh Production scheduling--Mathematical models en_US
dc.subject.lcsh Industrial efficiency--Mathematical models en_US
dc.subject.lcsh Delivery of goods--Mathematical models en_US
dc.subject.lcsh Overtime--Mathematical models en_US
dc.title Prediction of job completion times and optimal overtime allocation for satisfying production due dates en_US
dc.type Thesis en_US
dc.description.college Kate Gleason College of Engineering en_US
dc.description.department Industrial and Systems Engineering en_US
dc.description.approval 2006-11 en_US

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