Determining the impact of 5G-technology on manufacturing performance using a modified TOPSIS method

PurposeThe purpose of this paper is to analyse the impact on manufacturing performance of human resource management (HRM) practices across two job levels within manufacturing firms in Argentina and Uruguay: that of line managers and frontline workers. HRM practices are categorised into three bundles defined by the AMO theoretical framework: ability, motivation and opportunity.Design/methodology/approachThe article uses data from a survey to 301 manufacturing plants in Uruguay and Argentina. Given the characteristics of the dependent variable, linear regression models have been estimated in order to test the hypotheses.FindingsThe results show that the ability and opportunity bundles for line managers are positively associated with manufacturing performance. However, only the motivation bundle affects manufacturing performance for frontline workers.Research limitations/implicationsThe main limitations are the use of cross-sectional data, the focus on two specific countries and the analysis of two employee categories that are not completely homogenous. The paper extends the contingency perspective in HRM by examining the relevance of job level as a contingent factor in the HRM-performance relationship in the manufacturing industry.Practical implicationsThe results suggest that manufacturing companies should target HR investments more towards line managers than to frontline employees. More specifically, they should concentrate efforts on the ability and opportunity bundles.Originality/valueThe article contributes to the very limited empirical evidence on the impact of HRM differentiation on firm performance by analysing sub-dimensions in a context not previously analysed.

Download Full-text

Quantitative Selection of Variation Reduction Plans

Volume 3: 10th International Conference on Design Theory and Methodology ◽

10.1115/detc98/dtm-5664 ◽

1998 ◽

Author(s):

Anna C. Thornton

Keyword(s):

Risk Mitigation ◽

Cost Effective ◽

Variation Reduction ◽

Multiple Quality Characteristics ◽

Cost Effective Approach ◽

Manufacturing Performance ◽

The Impact ◽

Manufacturing Variation ◽

Selection Of

Abstract Quality has been a rallying call in the design and manufacturing world for the last two decades. One way to improve quality is to reduce the impact of manufacturing variation. Variation risk mitigation is challenging especially when a product has multiple quality characteristics and complex production and assembly. It is common wisdom that companies should identify and mitigate the risk associated with variation throughout the design process. As yield problems are identified, they should be mitigated using the most cost effective approach. One approach to variation risk mitigation is variation reduction (VR). VR targets reduction of variation introduced by existing manufacturing processes using tools such as Design of Experiments (DOE) and robust design. Many companies have specialized groups that specialize in these methods. VR teams have the role of improving manufacturing performance; however, these teams are limited in their resources. In addition, no tools exist to quantitatively determine where a VR team’s efforts are most effectively deployed. This paper provides a mathematical and optimization model to best allocate VR resources in a complex product.

Download Full-text

The Impact of Just-in-Time Manufacturing and Its Infrastructure on Manufacturing Performance

Management Science ◽

10.1287/mnsc.43.9.1246 ◽

1997 ◽

Vol 43 (9) ◽

pp. 1246-1257 ◽

Cited By ~ 262

Author(s):

Sadao Sakakibara ◽

Barbara B. Flynn ◽

Roger G. Schroeder ◽

William T. Morris

Keyword(s):

Just In Time ◽

Manufacturing Performance ◽

The Impact

Download Full-text

The impact of preventive maintenance practices on manufacturing performance: A proposed model for SMEs in Malaysia

10.1063/1.4960899 ◽

2016 ◽

Author(s):

Halim Mad Lazim ◽

Che Azlan Taib ◽

Hendrik Lamsali ◽

Mohamed Najib Saleh ◽

Chandrakantan Subramaniam

Keyword(s):

Preventive Maintenance ◽

Proposed Model ◽

Manufacturing Performance ◽

The Impact

Download Full-text

Modified TOPSIS Method With Banking Case Study

Multi-Criteria Decision Analysis in Management - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-7998-2216-5.ch009 ◽

2020 ◽

pp. 189-224

Author(s):

Semra Erpolat Taşabat ◽

Tuğba Kıral Özkan

Keyword(s):

Banking Sector ◽

Distance Measure ◽

Distance Measurement ◽

Distance Measures ◽

Measurement Unit ◽

Alternative Measure ◽

Topsis Method ◽

Distance Measurements ◽

Modified Topsis

In this chapter, an alternative measure to Euclidean distance measurement is proposed which is used to calculate positive and negative ideal solutions in the traditional TOPSIS method. Lp Minkowski family and L1 family distance measures were used for this purpose. By taking the averages of the distance measurements in the Lq and L1 families, more general and accurate level units were tried to be obtained. Thus, it was shown that TOPSIS method can give different results according to the distance measure used. The importance of the distance measurement unit was emphasized to rank the alternatives correctly. The implementation and evaluation of the proposed method was carried out through the financial performance of the deposit bank operating in the Turkish Banking Sector. It was seen that the rankings of the alternatives changed according to the distance measurements used. By referring to the distance measurements that can be used in the TOPSIS method, it was shown that the rank of the alternatives can vary according to the preferred distance measure.

Download Full-text

Regional Differences in Manufacturing Performance: The Case of the Canadian Food and Beverage Industry, 1961–84

Environment and Planning A Economy and Space ◽

10.1068/a220079 ◽

1990 ◽

Vol 22 (1) ◽

pp. 79-100 ◽

Cited By ~ 2

Author(s):

D L Rigby

Keyword(s):

Regional Differences ◽

Food Industry ◽

Commodity Prices ◽

Food Sector ◽

Beverage Industry ◽

Food And Beverage Industry ◽

Manufacturing Performance ◽

Food And Beverage ◽

Rate Of Profit ◽

The Impact

In this paper the performance of the food and beverage industry in six regions of Canada between 1961 and 1984 is examined. The impact of spatial variations in commodity prices and techniques of production on the rate of profit are separated. Significant regional disparities in both production and market performance exist within the food sector and lend little support to the industry-mix thesis. Price variations are the principal cause of regional differences in manufacturing profitability. The rate of profit in the food industry declined in all regions, though at a slower rate than in manufacturing as a whole.

Download Full-text