Integrating deterioration and lifetime constraints in production and supply chain planning: A survey
Items with short lifetimes that are subject to deterioration are important in the business world.
Research has a long tradition in integrating deterioration and value loss effects into …
Research has a long tradition in integrating deterioration and value loss effects into …
Supply chain risk prioritization: a multi-criteria based Intuitionistic Fuzzy TOPSIS approach
S Mukherjee, A De, S Roy - International Journal of Quality & …, 2024 - emerald.com
Purpose Identifying and prioritizing supply chain risk is significant from any product's quality
and reliability perspective. Under an input-process-output workflow, conventional risk …
and reliability perspective. Under an input-process-output workflow, conventional risk …
Optimizing defect rework for a software start-up's schedule variation: a Six-Sigma-based approach
S Mahato, S Roy - International Journal of Quality & Reliability …, 2024 - emerald.com
Purpose Managing project completion within the stipulated time is significant to all firms'
sustainability. Especially for software start-up firms, it is of utmost importance. For any …
sustainability. Especially for software start-up firms, it is of utmost importance. For any …
Optimising a production plan for underground coal mining: a genetic algorithm application
S Roy, RP Mohanty - International Journal of Operational …, 2021 - inderscienceonline.com
Developing an optimal production plan of an underground coal mine is complex due to
several factors such as: economic, physical, environmental and social, etc. In this paper, an …
several factors such as: economic, physical, environmental and social, etc. In this paper, an …
Pack size effects on retail store inventory and storage space needs
Due to constraints on pack sizes in which products are shipped to retail stores, excess
inventory can accumulate in stores. In order to optimize the allocation of store space …
inventory can accumulate in stores. In order to optimize the allocation of store space …
Automated learning multi-criteria classifiers for FLIR ship imagery classification
K Jabeur, A Guitouni - 2007 10th International Conference on …, 2007 - ieeexplore.ieee.org
This paper proposes an Automated Learning Method (ALM) based on Real-Coded Genetic
Algorithm (RCGA) to infer the Multi-Criteria Classifiers (MCC) parameters. The Multi-Criteria …
Algorithm (RCGA) to infer the Multi-Criteria Classifiers (MCC) parameters. The Multi-Criteria …
A dynamic evolutionary mechanism for mixed-production
This paper describes a new dynamic evolutionary mechanism which assists process
engineers in devising efficient processes for manufacturing high quality items where the …
engineers in devising efficient processes for manufacturing high quality items where the …
Optimization of Inventory for Optimal Replenishment Policies and Lead-Time with Time Varying Demand: A Genetic Algorithm Approach
Considering a single period inventory management problem used in the distribution channel
to represent consumer demand for marketing/sales of a product, attempt is made to develop …
to represent consumer demand for marketing/sales of a product, attempt is made to develop …
[PDF][PDF] on Genetic algorithm for Solving a Deterministic Inventory Problem for Deteriorating items with Shortages
A Ranjan, MK Singh, AN Chatterjee - CSI CommunICatIonS, 2012 - aiet.org.in
The objective of this paper is to modelling a deterministic inventory problem of the single
deteriorating item with a constant rate of deterioration considering the demand rate being …
deteriorating item with a constant rate of deterioration considering the demand rate being …
A Contingent Searching for Improvement of Evolutions
C Tsai, K Chao - … on Computer Supported Cooperative Work in …, 2006 - ieeexplore.ieee.org
Genetic algorithm (GA) technique is a promising approach to identify an optimum
manufacturing cost by concurrently considering significant number of related variables. It is a …
manufacturing cost by concurrently considering significant number of related variables. It is a …