A New Approach to the Stock Location Assignment Problem by Multidimensional Scaling and Seriation

1999 ◽  
pp. 353-360
Author(s):  
Angelo M. Mineo ◽  
Antonella Plaia
Keyword(s):  
Multidimensional Scaling ◽  
Assignment Problem ◽  
New Approach ◽  
Location Assignment

scholarly journals Particle Swarm Optimization Using Neighborhood-Based Mutation Operator and Intermediate Disturbance Strategy for Outbound Container Storage Location Assignment Problem

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Yuyan He ◽  
Aihu Wang ◽  
Hailiang Su ◽  
Mengyao Wang
Keyword(s):  
Particle Swarm Optimization ◽  
Assignment Problem ◽  
Particle Swarm ◽  
Local Solution ◽  
Mutation Operator ◽  
Swarm Optimization ◽  
Intermediate Disturbance ◽  
Storage Location ◽  
Location Assignment ◽  
Container Storage Location Assignment

Outbound container storage location assignment problem (OCSLAP) could be defined as how a series of outbound containers should be stacked in the yard according to certain assignment rules so that the outbound process could be facilitated. Considering the NP-hard nature of OCSLAP, a novel particle swarm optimization (PSO) method is proposed. The contributions of this paper could be outlined as follows: First, a neighborhood-based mutation operator is introduced to enrich the diversity of the population to strengthen the exploitation ability of the proposed algorithm. Second, a mechanism to transform the infeasible solutions into feasible ones through the lowest stack principle is proposed. Then, in the case of trapping into the local solution in the search process, an intermediate disturbance strategy is implemented to quickly jump out of the local solution, thereby enhancing the global search capability. Finally, numerical experiments have been done and the results indicate that the proposed algorithm achieves a better performance in solving OCSLAP.

Weber's Ratio, Multidimensional Scaling and Incomplete Data Sets: New Light on an Old Problem

1988 ◽  
Vol 32 (17) ◽  
pp. 1183-1187
Author(s):  
J. G. Kreifeldt ◽  
S. H. Levine ◽  
M. C. Chuang
Keyword(s):  
Multidimensional Scaling ◽  
Incomplete Data ◽  
Data Sets ◽  
Observation Data ◽  
Data Set ◽  
New Approach ◽  
Sensory Modalities ◽  
Minimal Difference ◽  
Typical Measurement ◽  
Measurement Context

Sensory modalities exhibit a characteristic known as Weber's ratio which remarks that when two stimuli are compared for a difference: (1) there is some minimal nonzero difference which can be differentiated and (2) this minimal difference is a nearly constant proportion of the magnitude of the stimuli. Both of these would, in a typical measurement context, appear to be system defects. We have found through simulation explorations that in fact these are apparently the characteristics required by a system designed to extract an adequate amount of information from an incomplete observation data set according to a new approach to measurement.

scholarly journals The storage location assignment problem: A literature review

2019 ◽  
pp. 199-224 ◽  
Author(s):  
Juan José Rojas Reyes ◽  
Elyn Lizeth Solano-Charris ◽  
Jairo Rafael Montoya-Torres
Keyword(s):  
Literature Review ◽  
Assignment Problem ◽  
Storage Location ◽  
Location Assignment

Geographical Information of Dynamic Carbon Footprints Management System in Orders and Trucks Assignment Problem

2012 ◽  
Vol 518-523 ◽  
pp. 5611-5615 ◽  
Author(s):  
Zih Ping Ho
Keyword(s):  
Assignment Problem ◽  
Management System ◽  
Arrival Time ◽  
Truck Drivers ◽  
Geographical Information ◽  
Future Research ◽  
Web Based ◽  
New Approach ◽  
Carbon Footprints ◽  
Web Structure

A dynamic carbon footprints management system is an important issue in future economics. This research applied geographical information to calculate carbon footprints. It also formulated an orders and trucks assignment problem with capacities of carbon footprints constraints, arrival time constraints and recycling missions constraints to maximize cargoes distribution profits. This study adapted the web based structures for programming, and proposed new approach. After validation, it would increase profits by 46% more than the experience of truck drivers, and profits by 61.5% of that of On Call (individual delivery). If a customer does not attend at a specified place and appointed time, the truck would go back and forward, then consume more gases. Through a web-structure dynamic carbon footprints management system, truck drivers leave ample time to complete their jobs. Future research suggests expanding this research to dynamic routes with consideration of traffic jams.

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