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SUMMARY:Joint optimization of preventive maintenance plan\, production sch
 edule and quality control policy in a discrete manufacturing plant - Azman
  Aziz (University of Cambridge)
DTSTART:20140515T130000Z
DTEND:20140515T140000Z
UID:TALK49976@talks.cam.ac.uk
CONTACT:Rengarajan
DESCRIPTION:In the past\, operational policies of a manufacturing plant in
 volving\nproduction scheduling\, maintenance planning\, and quality contro
 l have been\ndecided independently. However\, since there exists interacti
 on effect among\nthe three aspects of operations planning and since the ef
 fects can inform\nmanagers about their manufacturing performance\, joint c
 onsideration of\npolicy involving scheduling\, maintenance planning\, and 
 quality control is an\nimportant area to be investigated. If the effects c
 an be jointly optimized\,\nmanagers can decide which aspects they need to 
 focus on in order to meet\nrequirements such as high product quality\, low
  manufacturing costs\, and\ntimely deliveries.\n\nThe purpose of this rese
 arch is to measure objective functions such as\nmaintenance cost\, product
 ion cost\, and quality cost in two machines in a\nsequence using a mathema
 tical model. Once the effects are quantified\, they\nare simultaneously op
 timized using an evolutionary algorithm\, such as\nSimulated Annealing. Th
 e results of the algorithm will minimize the\nobjective functions\, such a
 s the operation cost\, the delivery time\, and the\nproduct defects.\n\nJo
 int consideration of production scheduling\, maintenance planning\, and\nq
 uality control has shown promising results. A reduction of about 15% of th
 e\ntotal operation cost has been recorded. However\, the study examines on
 ly one\nmachine. In order to reflect a real-life production structure\, a\
 nmulti-machine setup needs to be examined. It is hoped that through better
 \nmodelling of the objective functions and jointly optimizing them\, a mor
 e\neffective policy can be achieved. This policy can in turn act a practic
 al\nguide to managers whose ultimate goal is to remain competitive.\n
LOCATION:Seminar room 2\, Institute for Manufacturing\, Cambridge
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