A simulated annealing approach to the nesting problem in the textile manufacturing industry

1995 ◽  
Vol 57 (1) ◽  
pp. 103-133 ◽  
Author(s):  
Ralf Heckmann ◽  
Thomas Lengauer
2017 ◽  
Vol 13 (3-4) ◽  
pp. 89-97
Author(s):  
Maheepala S. D. S. R. ◽  
Warnakulasooriya B. N. F. ◽  
Y. K. Weerakoon Banda

Servitisation studies in extant literature contribute to the resource-based view and relational view where industrial organisation view was largely ignored due to the focus on individual manufacturing units. In international business industry, competitiveness is required to enhance the performance of individual organisations. Following post-positivism epistemology, a multi-case study approach has been employed in this study. The unit of analysis is the network consisting of manufacture, supplier and the customer. Two such units of apparel manufacturing industry in Sri Lanka and two units from textile manufacturing industry in Taiwan were selected. This study establishes the link between servitised industry and national competitive advantage. The collaboration with suppliers, indirect competitors and other partners were identified as critical factors to differentiate a business-to-business (B2B) manufacturing industry in an international business.


2018 ◽  
Vol 9 (2) ◽  
pp. 54-69 ◽  
Author(s):  
Gregory W. Ulferts ◽  
Terry L. Howard ◽  
Nicholas J. Cannon

This article describes how U.S. manufacturing was stricken when companies embraced outsourcing beginning in the 1990s as a strategy for taking advantage of lower labor costs in developing countries. The U.S. textile and apparel industries lost 76.5% of its workforce, or 1.2 million jobs, between 1990 and 2012. The catalyst which has renewed the interest in manufacturing textiles and apparel in the United States is the narrowing gap between the U.S. and Asian labor costs. The sector changed in response to technology and the global market, and both the number and type of employees demanded turned as well. The advanced technology currently drives the domestic textile industry. Despite a positive outlook on growth, it is unlikely that textile manufacturing will create the large number of jobs that it did in the past. Furthermore, it is only viable because of the technological improvements to its factories. The current production is designed to employ fewer workers in order be more productive and less dependent on labor costs. Nevertheless, the high demand for specialized and unique textiles in the U.S. and Europe will likely continue to drive improved manufacturing technology and performance. China's transition from a manufacturing economy to a service economy will increase its manufacturing operational costs, while probably growing demand for the sorts of specialized textiles on which American textile manufacturers tend to focus. If such manufacturers can increase their market shares in China and other Asian countries, while maintaining such markets in the U.S. and Europe, the American textile manufacturing industry will likely grow at a moderately high rate.


2018 ◽  
Vol 19 (2) ◽  
pp. 125
Author(s):  
Tanti Octavia ◽  
Septiananda Angelica

Implementation of mobile rack warehouse is commonly used in manufacturing industry because it can minimize the warehouse area used. Applying picking orders in taking of Stock Keeping Unit (SKU) on mobile rack warehouses could give fast loading order. This research aims to find out which algorithm is better in applying picking order sequence in mobile rack warehouse. The algorithm used is Simualted Annealing (SA) and Harmony Search (HS) algorithm. Both of these algorithms will be compared in terms of the gap with the shortest path method.The result shows that the HS algorithm produces a better solution than the SA algorithm with lower CPU time, but the convergence rate of HS is lower than that of SA.HS was able to produce a better solution than the shortest path method of 9 cases, while SA only 8 cases from 15 cases.


2020 ◽  
Vol 71 (03) ◽  
pp. 215-222
Author(s):  
ABDULLAH EJAZ ◽  
RAMONA BIRAU ◽  
CRISTI SPULBAR ◽  
RAMONA BUDA ◽  
ANDREI COSMIN TENEA

The aim of this research study is to examine the impact of domestic portfolio diversification strategies in Toronto Stock Exchange (TSX) on Canadian textile manufacturing industry in order to obtain attractive investment opportunities. Dissipation of benefits of globally diversified portfolios due to overwhelming convergence among the international and regional stock markets around the globe have given rebirth to the idea of domestic portfolio diversification particularly after the global financial crisis of 2008. Textile industry in Canada is challenging but can achieve higher performance based on Toronto Stock Exchange behavior. Therefore, this is a complex applied research focused on investigating TSX as standalone stock market for domestic diversification opportunities. For this purpose, correlation coefficients, pairwise cointegration, multiple cointegration and causality of sectors in TSX have been examined. The empirical results show that majority of the sectors in TSX do not share high correlation with each other and they are also not highly cointegrated. These empirical findings indicate that TSX presents attractive opportunities for domestic portfolio diversification.


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