Volume Flexibility at Responsive Suppliers in Reshoring Decisions

2021 ◽  
Author(s):  
Joren Gijsbrechts ◽  
Robert N. Boute ◽  
Stephen M. Disney ◽  
Jan Albert Van Mieghem
Keyword(s):  
Volume Flexibility

scholarly journals Impact of Manufacturing Flexibility on Business Performance: Malaysian’s Perspective

2019 ◽  
Vol 21 (3) ◽  
pp. 308
Author(s):  
KONG WOUN TAN ◽  
Kong Teong Lim
Keyword(s):  
Business Performance ◽  
Material Handling ◽  
Survey Methodology ◽  
Cross Sectional Study ◽  
Manufacturing Flexibility ◽  
Regression Analyses ◽  
Machine Material ◽  
Cross Sectional ◽  
Volume Flexibility ◽  
The Impact

This research aims to investigate the impact of manufacturing flexibility on business performance. The manufacturing flexibility dimensions are mix, new product, labor, machine, material handling, routing and volume flexibility. The measures for the business performance are product market performance, customer satisfaction and profitability. The impact of manufacturing flexibility on business performance has been tested using a cross sectional study employing survey methodology, conducted within five manufacturing industries in Malaysia. Data were obtained from 137 returned questionnaires, which were analyzed using correlational and regression analyses. The results of the correlation analyses indicated that the manufacturing flexibility dimensions were positively and highly correlated among themselves, thus suggesting that the dimensions were interdependent. Meanwhile, the findings of the regression analyses provided support for the idea that manufacturing flexibility has a positive and significant impact on business performance. In other words, manufacturing flexibility improves business performance. In conclusion, this empirical research provides insights and a better understanding about the relationship between manufacturing flexibility and business performance. This research allows researchers/practitioners to gain in-depth knowledge about the concept of manufacturing flexibility and its impacts.

Employment Of Temporary Workers And Use Of Overtime To Achieve Volume Flexibility Using Master Production Scheduling: Monetary And Social Implications

2021 ◽  
Author(s):  
Marco Trost ◽  
Thorsten Claus ◽  
Frank Herrmann
Keyword(s):  
Production Scheduling ◽  
Linear Optimization ◽  
Temporary Workers ◽  
Manufacturing Companies ◽  
Industrial Manufacturing ◽  
Volume Flexibility ◽  
Personnel Planning ◽  
Master Production Scheduling ◽  
Linear Optimization Model ◽  
The Social

Flexibility and in particular volume flexibility is an important topic for industrial manufacturing companies. In this context, the harmonization of the available and required capacity is a central task, especially with increasing fluctuations in customer demand. In classical approaches, this is considered only by the use of additional capacities and there are only a few approaches that combine aspects of personnel planning with production planning. Therefore, this article presents a linear optimization model for master production scheduling that includes aspects of personnel requirements planning. It is used to investigate different strategies for the use of overtime and temporary workers in order to achieve different levels of volume flexibility. With regard to the monetary and social impacts, the results indicate that overtime has a stronger influence to achieve volume flexibility than the use of temporary workers. However, both are affected by substantial deficits in human working conditions. But the results also imply a promising potential for improving the social aspects without a significant increase in costs.

Key Performance Indicators for the Organized Farm Products Retailing in India

2017 ◽  
pp. 1316-1329
Author(s):  
Rajwinder Singh ◽  
Ajit Pal Singh ◽  
Bhimaraya A. Metri
Keyword(s):  
Performance Measurement ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Performance Measurement System ◽  
Volume Flexibility ◽  
Farm Production ◽  
Product Personality ◽  
Cost Distribution ◽  
Livestock Products ◽  
Agriculture Products

The Non-livestock products include Horticulture products (flowers, fruits, nuts, vegetables and medicinal plants) and Agriculture products (Crops like; rice, cotton, wheat). These items share the maximum sale of the farm products. Unfortunately, the farm production in India has witnessed a huge wastage. It has attracted the attention of many practitioners and policy makers. Witnessing the opportunity many organized retail players have entered the arena to sell farm products. However, the supply chain (SC) performance measurement has remained the major challenge as “No measurement no improvement”. Many organizations are searching for an efficient SC performance measurement system. Our study recommends that the SC performance shall be improved by developing a SC strategy based on a limited set of key performance indicators (KPI). Otherwise, managers shall waste time and resources on the undesirable performance indicators. We have identified and classified the KPI for non-livestock retailing SC management into five groups. These are 1) Customer Attraction Metrics (product quality, product personality, process quality); 2) Inventory Metrics (fill rate, customer response time, return adjustment, spoilage adjustment, and Vendor managed inventory); 3) Attractiveness Metrics (inventory cost, distribution cost, Return on investment, stakeholder value, sales profit and channel flexibility); 4) Transportation Metrics (shipping errors, and volume flexibility); and 5) Customer Metrics (lead time, delivery flexibility, and backorder flexibility). This grouping shall help the practitioners to focus on a limited set of KPI for better management of supply chains.

Design of Manufacturing Systems to Support Volume Flexibility

1999 ◽  
Author(s):  
Michael Charles ◽  
David S. Cochran ◽  
Daniel C. Dobbs
Keyword(s):  
Manufacturing Systems ◽  
Volume Flexibility

A Collaborative Rapid Analysis Method for Decision-Making in Assembly Line Design

2004 ◽  
Author(s):  
Masataka Yoshimura ◽  
Satoshi Yoshida ◽  
Yoshinori Konishi ◽  
Kazuhiro Izui ◽  
Shinji Nishiwaki ◽  
...  
Keyword(s):  
Decision Making ◽  
Conceptual Design ◽  
Assembly Line ◽  
Rapid Analysis ◽  
Design Stage ◽  
Analysis Method ◽  
Design Engineers ◽  
Volume Flexibility ◽  
Conceptual Design Stage ◽  
Line Design

Many highly accurate computer simulation tools have been developed for assembly line design, such as for simulation of assembly processes, but these tools require much input information and are generally utilized only in detailed design stages. This paper proposes a rapid analysis method for manual assembly line design, which can be utilized in the conceptual design stage. This method is based on a layout tool where design engineers can construct assembly line models using 2- and 3-D views. This method provides design evaluation techniques for multiple important criteria such as volume flexibility, visibility, and so on, using the layout data. Spatial evaluation and quantitative efficiency analyses can be simultaneously performed, which enhance collaborative decision-making in the conceptual design stage.

Incentive of retailer information sharing on manufacturer volume flexibility choice

Omega ◽  
2020 ◽  
pp. 102210
Author(s):  
Liqun Wei ◽  
Jianxiong Zhang ◽  
Guowei Zhu
Keyword(s):  
Information Sharing ◽  
Volume Flexibility

Empirical analysis of enablers and performance outcome of manufacturing flexibility in an emerging economy

2020 ◽  
Vol 31 (6) ◽  
pp. 1301-1322 ◽  
Author(s):  
Ruchi Mishra
Keyword(s):  
Structural Equation ◽  
Positive Influence ◽  
Operational Performance ◽  
Equation Modeling ◽  
Extensive Literature ◽  
Product Mix ◽  
Content Type ◽  
Volume Flexibility ◽  
And Performance ◽  
Internal Integration

PurposeThe objective of this paper is to empirically test and verify the enablers of volume flexibility and product-mix flexibility and to assess the influence of these flexibilities on operational performance.Design/methodology/approachA research framework consisting of nine pairs of hypotheses was developed using an extensive literature review. Using a self-administered questionnaire, 391 responses were collected, and these responses were analyzed using descriptive statistics, factor analysis, and structural equation modeling techniques.FindingsThe findings empirically confirm the enablers of volume flexibility and product-mix flexibility. The proposed model explained 59 percent variance in volume flexibility and 63 percent variance in product-mix flexibility. Volume flexibility and product-mix flexibility together explained 38 percent variance in operational performance.Research limitations/implicationsTheoretically, this study advances flexibility literature in two significant ways. First, the study conducts first of its kind quantitative empirical investigation considering upstream, downstream, and internal integration practices as enablers of volume flexibility and product-mix flexibility. Second, this study adds to the flexibility literature by suggesting the positive influence of volume and product-mix flexibility on the operational performance of firms.Originality/valueThe study reinforces the role of enablers in the development of volume and product-mix flexibilities. Thus, the study provides a comprehensive view of flexibility enablers that can be used as a diagnostic tool, which practitioners can use to assess and deploy flexibility.

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