工业工程--精益生产外文翻译.doc
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1、大连交通大学2015届本科生毕业设计(论文)外文翻译Literature review of JIT-KANBAN systemAbstractIn this paper, JIT (JustInTime) -KANBANliterature survey was carried out and presented.Theintroductory section deals with the philosophy of JIT,andthe concept involved in the push and pull system. Theblocking mechanisms in the k
2、anban system are alsodiscussed elaborately。 Besides these sections, the importanceof measure of performance (MOP) and the applicationof the same with respect to JITKANBAN arepresented。 The recent trends in the JIT-KANBAN arediscussed under the heading “Special cases”. In this review,100 state-ofart
3、research papers have been surveyed。 Thedirections for the future works are also presented。1 IntroductionJust -InTime (JIT) manufacturing system was developedby Taiichi Ohno which is called Japanese “Toyotaproduction system”JIT manufacturing system has theprimary goal of continuously reducing and ult
4、imatelyeliminating all forms of wastes (Brown et al。 5,Ohno54, Sugimori et al。 82). Based on this principle,Japanese companies are operating with very low level ofinventory and realizing exceptionally high level of qualityand productivity (Richard J。 Tersine 62, James H. Greene 30). JIT emphasizes “
5、zero concept” which meansachievement of the goals of zero defects, zero queues,zero inventories, zero breakdown and so on。 It ensures thesupply of right parts in right quantity in the right place andat the right time。 Hence, the old system of materialacquisition and, buyer and seller relationships a
6、re changedto new revolutionary concepts (Womack et al. 91,Womack and Jones 92, Markey et al。 45)。 Similarly,JIT becomes an inevitable system at plant level, whichintegrates the cellular manufacturing, flexible manufacturing,computer integrated manufacturing and Robotics(Schonberger 63, Golhar 12)。Du
7、e to the technological advancement, the conventionalmethod of push production system linked with MaterialRequirement Planning (MRP) was changed to pull type JITproduction system to meet out the global competition,where the workinprocess (WIP) can be managed andcontrolled more accurately than the pus
8、h productionsystem (Mason Paul 46)。KANBAN system is a new philosophy, which plays asignificant role in the JIT production system. Kanban isbasically a plastic card containing all the informationrequired for productionassembly of a product at each stageand details of its path of completion. The kanba
9、n system isa multistage production scheduling and inventory controlystem。 These cards are used to control production flowsand inventory. This system facilitates high productionvolume and high capacity utilization with reduced productiontime and workinprocess。The objectives of this paper are as liste
10、d below1) Critical review of JIT literature.2) Segregating the different research articles of JIT。3) Exploring the recent trends in JIT-Kanban system andderiving directions for future research.In this paper, the articles are reviewed and an appropriateclassification is presented。The kanban study was
11、 madeelaborately, since it acts as a basic communicator and feedbackagent to the JIT system。 Push and pull system,principle of operation of kanban cards, Blocking mechanism,Toyotas formula, and the measures of performances(MOP) are also discussed in this paper. The latest trends inJIT-Kanban system
12、are also addressed separately under theheading “Special cases”。 Finally, the directions for futureresearches are presented。6。1。1 Flow shopKanban system is widely implemented in repetitivemanufacturing environment。 Fora single card operationalsystem, Sharadhapriyadarishini et al. 77 have developedtwo
13、 heuristics and proved that these are more efficient.Saradhapriyadarishini et al。 78 have proposed a recursiveequation for scheduling the single card kanban system withdual blocking. They proposed a heuristic with twinobjectives of minimizing the sum of total weighted timeof containers and weighted
14、flow time of part-types。Rajendran 61 has done a work on two card flow shopscheduling with n parttypes。 In this paper, mathematicalmodels for time tabling of containers for different problemshave been formulated。 Then, a heuristic was developed tominimize the sumof weighted flow time, weighted earlin
15、ess,and weighted tardiness of containers. Hemamalini et al。 22have done similar work. In this work, the heuristic developedis simulated annealing algorithm. This is compared withrandomsearchmethod。 In these papers, the comparisons aredone only based on mean relative percentage increase。Instead of th
16、is approach, comparisons based on completeANOVA experiments would provide reliable inference.Peter Brucker et al。 58 have carried out research onflow shop problem with a buffer of limited capacitybetween two adjacent machines。 After finishing theprocessing of a job on a machine, either the job is to
17、 beprocessed on the following machine or it is to be stored inthe buffer between these machines. If the buffer iscompletely occupied, the job has to wait on its currentmachine but blocks this machine for other jobs。 In thispaper, they determined a feasible schedule to minimize themakespan using tabu
18、 search. The results of the problemusing tabu search were compared with that of benchmarkinstances。 The comparisons are done only based on relativeimprovements。 Instead of this approach, comparisonsbased on complete ANOVA experiments would providereliable inference。6.1.2 Assembly lineAssembly lines
19、are similar to the flow shops in whichassembly of parts are carried out in a line sequence。 In amulti product assembly line, the sequencing of the jobs is achallenging task。 Drexl et al。 16 considered an assemblyline sequencing mixed model problem. It is a combinatorialproblem. They formulated this
20、combinational problem asinteger programming model。 This model can be used onlyfor small size problems due to the limitations of operationsresearch software with respect to handling the number ofvariables and constraints, which are present in the integerprogrammingmodel。 Xiaobo et al。 94 have conside
21、redsimilar work on mixed modelassembly line sequencingproblem with conveyor stoppages。 They proposed branchand bound algorithm, and simulated annealing algorithmfor finding the optimal solution and suboptimal solution ofthe mixedmodel sequencing problem, respectively tominimize the total conveyor st
22、oppage time。 The branchandbound method was devoted to find the optimalsolution of small-sized problems, whereas the simulatedannealing method was used to cope with large-scaleproblems to obtain a good suboptimal solution. Future,research on simulated annealing applied to this problemcan be directed
23、to establish a better seed generationalgorithm。 However, the practitioner should spend considerabletime in fixing the parameter called temperature(T) in the simulated annealing algorithm by trail and errormethod before actually solving the problem。6。1.3 Batch production systemIn a batch production s
24、ystem, the switching over from oneproduct to other product depends on many factors such asstock reaching to the threshold level, different priorityschemes, economical setups, etc. Tafur Altiok et al。 86have dealt this issue differently for the pull typemanufacturing system with multi product types.
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