A New Approach to Supply Chain Performance Measurement

2016 ◽  
pp. 111-128
Author(s):  
Amit Kumar Marwah ◽  
Girish Thakar ◽  
R. C. Gupta
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Performance Measures ◽  
Research Work ◽  
Primary Data ◽  
Supply Chain Performance ◽  
New Approach ◽  
Factors Affecting ◽  
Manufacturing Organizations ◽  
Overall Reliability

Existing research work has established that many of today's manufacturing organizations have failed to develop a comprehensive supply chain performance measures. In this chapter, the authors intend to empirically assess the effects of supplier buyer relations and human metrics on supply chain performance in the context of Indian manufacturing organizations. After rigorous literature review, total 18 variables have been identified which are later on reduced in number by factor analysis. As a pilot study, primary data is collected from 100 manufacturing organizations by means of a questionnaire and a scale is developed. On a sample size of 100, the proposed hypotheses are tested by applying two-tailed tests. t-test and factor analysis resulted in 5 factors, 2 related to supplier-buyer relations and 3 related to human metrics. The overall reliability of the scale comes out to be 0.697. The research work provides a new approach to the manufacturing organizations to understand the factors affecting supply chain performance. The present study is limited to Indian manufacturing organizations.

A New Approach to Supply Chain Performance Measurement

2017 ◽  
pp. 2222-2239
Author(s):  
Amit Kumar Marwah ◽  
Girish Thakar ◽  
R. C. Gupta
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Performance Measures ◽  
Research Work ◽  
Primary Data ◽  
Supply Chain Performance ◽  
New Approach ◽  
Factors Affecting ◽  
Manufacturing Organizations ◽  
Overall Reliability

Existing research work has established that many of today's manufacturing organizations have failed to develop a comprehensive supply chain performance measures. In this chapter, the authors intend to empirically assess the effects of supplier buyer relations and human metrics on supply chain performance in the context of Indian manufacturing organizations. After rigorous literature review, total 18 variables have been identified which are later on reduced in number by factor analysis. As a pilot study, primary data is collected from 100 manufacturing organizations by means of a questionnaire and a scale is developed. On a sample size of 100, the proposed hypotheses are tested by applying two-tailed tests. t-test and factor analysis resulted in 5 factors, 2 related to supplier-buyer relations and 3 related to human metrics. The overall reliability of the scale comes out to be 0.697. The research work provides a new approach to the manufacturing organizations to understand the factors affecting supply chain performance. The present study is limited to Indian manufacturing organizations.

Developing and Implementing a Port Fluidity Performance Measurement Methodology using Automatic Identification System Data

2018 ◽  
Vol 2672 (11) ◽  
pp. 30-40 ◽  
Author(s):  
C. James Kruse ◽  
Kenneth N. Mitchell ◽  
Patricia K. DiJoseph ◽  
Dong Hun Kang ◽  
David L. Schrank ◽  
...  
Keyword(s):  
Supply Chain ◽  
Travel Time ◽  
Performance Measures ◽  
Automatic Identification ◽  
Identification System ◽  
Army Corps ◽  
Supply Chain Performance ◽  
Travel Time Reliability ◽  
Automatic Identification System ◽  
The U.S

The U.S. Army Corps of Engineers (USACE) is responsible for the maintenance of federally authorized navigation channels and associated infrastructure. As such, USACE requires objective performance measures for determining the level of service being provided by the hundreds of maintained navigation projects nationwide. To this end, the U.S. Army Engineer Research and Development Center partnered with Texas A&M Transportation Institute to develop a freight fluidity assessment framework for coastal ports. The goal was to use archival automatic identification system (AIS) data to develop and demonstrate how ports can be objectively compared in relation to fluidity, or the turnaround time reliability of oceangoing vessels. The framework allows USACE to evaluate maintained navigation project conditions alongside port system performance indices, thereby providing insight into questions of required maintained channel dimensions. The freight fluidity concept focuses on supply chain performance measures such as travel time reliability and end-to-end shipping costs. Although there are numerous research efforts underway to implement freight fluidity, this is the first known application to U.S. ports. This paper covers AIS data inputs, quality control, and performance measures development, and also provides a demonstration application of the methodology at the Port of Mobile, Alabama, highlighting travel time and travel time reliability operating statistics for the overall port area. This work provides foundational knowledge to practitioners and port stakeholders looking to improve supply chain performance and is also valuable for researchers interested in the development and application of multimodal freight fluidity performance measures.

Factors that impact Quality during the Transportation of Tomatoes

2021 ◽  
pp. 516-532
Author(s):  
Saurav Negi ◽  
Neeraj Anand ◽  
Shantanu Trivedi
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Supply Chain ◽  
State Government ◽  
Food Processing ◽  
Himachal Pradesh ◽  
North India ◽  
Current Status ◽  
Primary Data

This paper examines the factors that impact the quality of tomatoes during the transportation through the supply chain. This is motivated by the criticality transportation in north India region. Primary data was collected through a survey using a questionnaire with responses from 140 transporters from the Himachal Pradesh and Uttarakhand states of India. The data were analyzed using factor analysis to identify the factors that are impacting the quality of tomatoes during the transportation stage. Based on the analysis, three factors were identified that impact quality: Operational, Preservation and Infrastructure. The identification of these factors will benefit the stakeholders involved in the process of decision-making, like the state government, food processing units, transporters, and the farmers. This will help us to understand the current status of transportation and related issues and challenges which enable them to make better planning and management to improve efficiency in the transportation stage of the supply chain.

Factors that impact Quality during the Transportation of Tomatoes

2017 ◽  
Vol 7 (1) ◽  
pp. 49-63 ◽  
Author(s):  
Saurav Negi ◽  
Neeraj Anand ◽  
Shantanu Trivedi
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Supply Chain ◽  
State Government ◽  
Food Processing ◽  
Himachal Pradesh ◽  
North India ◽  
Current Status ◽  
Primary Data

This paper examines the factors that impact the quality of tomatoes during the transportation through the supply chain. This is motivated by the criticality transportation in north India region. Primary data was collected through a survey using a questionnaire with responses from 140 transporters from the Himachal Pradesh and Uttarakhand states of India. The data were analyzed using factor analysis to identify the factors that are impacting the quality of tomatoes during the transportation stage. Based on the analysis, three factors were identified that impact quality: Operational, Preservation and Infrastructure. The identification of these factors will benefit the stakeholders involved in the process of decision-making, like the state government, food processing units, transporters, and the farmers. This will help us to understand the current status of transportation and related issues and challenges which enable them to make better planning and management to improve efficiency in the transportation stage of the supply chain.

Factors affecting employee performance of PT.Kiyokuni Indonesia

2017 ◽  
Vol 59 (4) ◽  
pp. 602-614 ◽  
Author(s):  
Suharno Pawirosumarto ◽  
Purwanto Katijan Sarjana ◽  
Muzaffar Muchtar
Keyword(s):  
Leadership Style ◽  
Significant Influence ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Research Work ◽  
Employee Motivation ◽  
Multiple Linear Regression Analysis ◽  
Primary Data ◽  
Content Type ◽  
Factors Affecting

PurposeThis study aims to examine, analyze and explain the influence of leadership style, motivation and discipline to employee performance simultaneously and partially at PT. Kiyokuni Indonesia. Design/methodology/approachThe primary data used in this study come from questionnaire on respondents’ motivation, discipline, leadership style and employee performance. From 451 people as the population, 82 respondents who met the criteria as a sample were chosen by using the Slovin formula. The analytical method used is multiple linear regression analysis using SPSS Version 22. FindingsThe results of this study indicate that there is a positive and significant influence simultaneously between leadership style, employee motivation and discipline on employee performance. The results also show that there is a positive and significant influence partially between leadership style, employee motivation and discipline on employee performance. Discipline is the variable of the most powerful influence on employee performance, so it needs special attention. Originality/valueThe respondents of this research work for a company which generates products through the work of hands (manual work) and aims to promote the products in the international market.

Segmental differences in pharmaceutical industry and its impact on supply chain performance

2019 ◽  
Vol 13 (4) ◽  
pp. 516-540 ◽  
Author(s):  
Saswati Tripathi ◽  
Krishnamachari Rangarajan ◽  
Bijoy Talukder
Keyword(s):  
Supply Chain ◽  
Pharmaceutical Industry ◽  
Business Processes ◽  
Primary Data ◽  
Supply Chain Performance ◽  
Pharmaceutical Supply Chain ◽  
Content Type ◽  
Pharmaceutical Firms ◽  
Capital Productivity ◽  
Financial Metrics

Purpose Pharmaceutical industry involves highly specialized business processes where strong research and development focus along with market differentiation and localization are the deciders of success. This has led to evolution of segments and complexities in supply chain. This paper aims to focus on segmental differences in supply chain performance of Indian Pharmaceutical firms. Design/methodology/approach This paper measures supply chain performance of select segmental players of the pharmaceutical industry using financial metrics and supply chain operations reference (SCOR) key performance indicators through a five-year timeline. The best performance results are compared across the segments to identify unique performance features, if any. The sample results are validated through hypothesis testing methodology. Findings This paper has evidenced that the innovators segment is performing better in cash-to-cash cycle time and supply chain working capital productivity, whereas generics segment is doing better in distribution cost efficiency and total cost to serve aspects. Research limitations/implications The paper is based on historical financial data of firms and measures the firm focused supply chain performance. The results may not be generalized in a global context but serve as a motivator for other researchers to take similar studies. The paper may further be analyzed with primary data of the firms to understand the segmental difference in customer focus supply chain performance measures. Practical implications This paper has brought out important segmental supply chain performance features of the Indian pharmaceutical firms and identified segment-specific problems by integrating SCOR KPIs and financial metrics. Originality/value This paper has integrated both SCOR KPIs and financial metrics to provide unique insights on segmental differences in the performance behavior of pharmaceutical supply chain.

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