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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chompoonoot Kasemset | en_US |
dc.contributor.author | Eakachai Pintaruean | en_US |
dc.date.accessioned | 2018-09-05T03:31:14Z | - |
dc.date.available | 2018-09-05T03:31:14Z | - |
dc.date.issued | 2017-07-19 | en_US |
dc.identifier.other | 2-s2.0-85027842103 | en_US |
dc.identifier.other | 10.1109/ICIMSA.2017.7985584 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85027842103&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/56859 | - |
dc.description.abstract | © 2017 IEEE. First-come first-served (FCFS) is a general policy for refrigerated truck sequencing. However, adopting FCFS makes a company case study to face long waiting times before loading goods and inadequate parking areas for waiting trucks. To solve these problems, six dispatching rules are considered: latest departure time (LDT), smallest critical ratio (CR), shortest processing time (SPT), longest processing time (LPT), priority queueing considering density of customers (PQ-C), and priority queueing considering traffic congestion (PQ-T). Six-month historical data of trucks were collected and used for evaluating each rule. The minimum value of a truck's waiting time can be obtained when PQ-T has been tested. The results showed that using PQ-T can reduce 11.04% of the total waiting time when compare to FCFS. PQ-T is recommended for refrigerated truck sequencing mobile application development. This application can automatically generate the daily truck sequence. | en_US |
dc.subject | Business, Management and Accounting | en_US |
dc.subject | Decision Sciences | en_US |
dc.subject | Engineering | en_US |
dc.subject | Mathematics | en_US |
dc.title | Application of Job Sequencing Policies in Refrigerated Truck Sequencing: A Case Study | en_US |
dc.type | Conference Proceeding | en_US |
article.title.sourcetitle | 2017 International Conference on Industrial Engineering, Management Science and Application, ICIMSA 2017 | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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