Solving real-time cross docking truck-to-door assignment and scheduling using mixed integer programming and fuzzy logic model / Wan Nor Ashikin Wan Ahmad Fatthi

Efficiency of cross docking is mainly affected by the inbound operation’s total operation time that involves truck-to-door assignment and scheduling. However, many cross docking centres are still practising conservative way for assigning and scheduling trucks to dock doors. Most current studies addr...

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Main Author:	Wan Ahmad Fatthi, Wan Nor Ashikin
Format:	Thesis
Language:	English
Published:	2014
Online Access:	https://ir.uitm.edu.my/id/eprint/16466/2/TM_WAN%20NOR%20ASHIKIN%20WAN%20AHMAD%20FATTHI%20CS%2014_5.pdf
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id	my-uitm-ir.16466
record_format	uketd_dc
spelling	my-uitm-ir.164662022-04-08T07:55:09Z Solving real-time cross docking truck-to-door assignment and scheduling using mixed integer programming and fuzzy logic model / Wan Nor Ashikin Wan Ahmad Fatthi 2014-04 Wan Ahmad Fatthi, Wan Nor Ashikin Efficiency of cross docking is mainly affected by the inbound operation’s total operation time that involves truck-to-door assignment and scheduling. However, many cross docking centres are still practising conservative way for assigning and scheduling trucks to dock doors. Most current studies addressed deterministic truck scheduling model, thus, unable to deal with real time and dynamic environment of trucks arrival at the cross docking centre. Thus, this study embarks on four objectives which are to identify current issues of cross docking’s truck-to-door assignment and scheduling, to estimate the unloading time of a truck using fuzzy logic modelling, to develop a Mixed Integer Programming (MIP) model that minimizes the total service time of trucks at the inbound operation based on the estimated unloading time; and to analyse the simulations of daily real time truck scheduling operations based on the proposed model. This study utilized data gathered from a third party logistics company (3PL). Results from data analysis were used as basis for establishing the models of this study. Statistical analysis was utilized for hypothesis testing. Monte Carlo simulation experiments using an automated Excel-VBA template were conducted for verification and validation of the models. Based on the results, the developed mathematical model has been proven to be reliable in producing feasible solutions with low waiting time per truck and low service time, thus, capable of minimizing the total service time for all trucks at inbound operation at cross docking centre. The models and findings of this study can be utilized to enhance the cross docking services especially in Malaysia. 2014-04 Thesis https://ir.uitm.edu.my/id/eprint/16466/ https://ir.uitm.edu.my/id/eprint/16466/2/TM_WAN%20NOR%20ASHIKIN%20WAN%20AHMAD%20FATTHI%20CS%2014_5.pdf text en public mphil masters Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences Shuib, Adibah (Assoc. Prof. Dr.) Mohd Dom, Rosma (Assoc. Prof. Dr.)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Shuib, Adibah (Assoc. Prof. Dr.) Mohd Dom, Rosma (Assoc. Prof. Dr.)
description	Efficiency of cross docking is mainly affected by the inbound operation’s total operation time that involves truck-to-door assignment and scheduling. However, many cross docking centres are still practising conservative way for assigning and scheduling trucks to dock doors. Most current studies addressed deterministic truck scheduling model, thus, unable to deal with real time and dynamic environment of trucks arrival at the cross docking centre. Thus, this study embarks on four objectives which are to identify current issues of cross docking’s truck-to-door assignment and scheduling, to estimate the unloading time of a truck using fuzzy logic modelling, to develop a Mixed Integer Programming (MIP) model that minimizes the total service time of trucks at the inbound operation based on the estimated unloading time; and to analyse the simulations of daily real time truck scheduling operations based on the proposed model. This study utilized data gathered from a third party logistics company (3PL). Results from data analysis were used as basis for establishing the models of this study. Statistical analysis was utilized for hypothesis testing. Monte Carlo simulation experiments using an automated Excel-VBA template were conducted for verification and validation of the models. Based on the results, the developed mathematical model has been proven to be reliable in producing feasible solutions with low waiting time per truck and low service time, thus, capable of minimizing the total service time for all trucks at inbound operation at cross docking centre. The models and findings of this study can be utilized to enhance the cross docking services especially in Malaysia.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Wan Ahmad Fatthi, Wan Nor Ashikin
spellingShingle	Wan Ahmad Fatthi, Wan Nor Ashikin Solving real-time cross docking truck-to-door assignment and scheduling using mixed integer programming and fuzzy logic model / Wan Nor Ashikin Wan Ahmad Fatthi
author_facet	Wan Ahmad Fatthi, Wan Nor Ashikin
author_sort	Wan Ahmad Fatthi, Wan Nor Ashikin
title	Solving real-time cross docking truck-to-door assignment and scheduling using mixed integer programming and fuzzy logic model / Wan Nor Ashikin Wan Ahmad Fatthi
title_short	Solving real-time cross docking truck-to-door assignment and scheduling using mixed integer programming and fuzzy logic model / Wan Nor Ashikin Wan Ahmad Fatthi
title_full	Solving real-time cross docking truck-to-door assignment and scheduling using mixed integer programming and fuzzy logic model / Wan Nor Ashikin Wan Ahmad Fatthi
title_fullStr	Solving real-time cross docking truck-to-door assignment and scheduling using mixed integer programming and fuzzy logic model / Wan Nor Ashikin Wan Ahmad Fatthi
title_full_unstemmed	Solving real-time cross docking truck-to-door assignment and scheduling using mixed integer programming and fuzzy logic model / Wan Nor Ashikin Wan Ahmad Fatthi
title_sort	solving real-time cross docking truck-to-door assignment and scheduling using mixed integer programming and fuzzy logic model / wan nor ashikin wan ahmad fatthi
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/16466/2/TM_WAN%20NOR%20ASHIKIN%20WAN%20AHMAD%20FATTHI%20CS%2014_5.pdf
_version_	1783733534427447296

Solving real-time cross docking truck-to-door assignment and scheduling using mixed integer programming and fuzzy logic model / Wan Nor Ashikin Wan Ahmad Fatthi

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