TY - GEN
T1 - Biological clustering method for logistic place decision making
AU - Bakar, Rohani Binti Abu
AU - Watada, Junzo
PY - 2008
Y1 - 2008
N2 - One of the main tasks in supply chain network is to identify the determination of logistic location. The main factors could influence the selections are costs and profits for the company itself. Most appropriate place is urgently essentials in today business world to ensure the company could be more competitive then other competitors in the industry. A lot of considerations should be taken during selecting a location to build a logistic place to serve other retailers city effectively. Currently, there are so many algorithms based on different approaches are proposed by other researchers. Thus, this paper intends to propose DNA computing approach to solve the problem. In this study, a cluster-based approach is employ when all cities are grouped before we choose a right city as distribution center. A case study is presented at the end of this paper to illustrate how the proposed technique works.
AB - One of the main tasks in supply chain network is to identify the determination of logistic location. The main factors could influence the selections are costs and profits for the company itself. Most appropriate place is urgently essentials in today business world to ensure the company could be more competitive then other competitors in the industry. A lot of considerations should be taken during selecting a location to build a logistic place to serve other retailers city effectively. Currently, there are so many algorithms based on different approaches are proposed by other researchers. Thus, this paper intends to propose DNA computing approach to solve the problem. In this study, a cluster-based approach is employ when all cities are grouped before we choose a right city as distribution center. A case study is presented at the end of this paper to illustrate how the proposed technique works.
KW - Biologically inspired computing
KW - Cluster-based
KW - Determination
KW - DNA computing
KW - Logistic location
KW - Logistic problem
UR - http://www.scopus.com/inward/record.url?scp=57749183063&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-85567-5-18
DO - 10.1007/978-3-540-85567-5-18
M3 - Conference contribution
AN - SCOPUS:57749183063
SN - 3540855661
SN - 9783540855668
VL - 5179 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 136
EP - 143
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008
Y2 - 3 September 2008 through 5 September 2008
ER -