Performance Value Analysis Research Articles

Analysis of Performance Management And Work Achievements of Agricultural Extenders Assisting For Agricultural Economic Improvement (PPEP) South Ogan Komering Ulu Regency

This research aims to analyze the performance management of agricultural extension in organizing agricultural extension in South Ogan Komering Ulu Regency. The subjects of this research are agricultural instructors assisting agricultural economic improvement (PPEP), which is an agricultural instructor recruiting from the South Sumatra Province Governor's Program based on South Sumatra Governor Regulation Number 45 of 2020. The sampling method was carried out using a census where the entire population was used as a sample, namely 113 respondents in 19 sub-districts. The performance of extension workers is measured using a scoring method with measurement indicators by the Minister of Agriculture Regulation Number. 91/Permentan/OT.140/9/2013. The data analysis method used is Job Performance Value (NPK) analysis. The research results from the analysis show that the performance management of agricultural extension workers has a score with an average value for planning preparation of 4.70. Implementation of agricultural extension 3.61, while evaluation and reporting 4.87. The work achievement score has a score in the Fair category, namely 50%.

Performance analysis of agile manufacturing: a case study on an Indian auto component manufacturer

PurposeThe purpose of this paper is to develop a set of key performance indicators (KPIs) for agile manufacturing (AM) and to propose a methodology for its performance evaluation.Design/methodology/approachThe proposed methodology was developed using fuzzy analytic hierarchy process (FAHP) and performance value analysis (PVA) to evaluate and analyze the AM performance. The FAHP is applied to determine the importance of KPIs, and PVA is used to evaluate AM performance.FindingsThe proposed methodology is applied to an Indian auto component manufacturer, and it is observed that there is an improvement of performance along the timeline.Research limitations/implicationsThe proposed approach is generic in nature and can be applied to different agile business environments for performance evaluation.Practical implicationsThis study provides insights into the AM performance evaluation. The managers can establish the impact of each significant area (SA) on AM and each KPI on its corresponding SA by capturing their manufacturing environments.Originality/valueAlthough many issues related to AM have been widely researched, only a few studies have been carried out to quantify, analyze and evaluate the AM performance in the Indian manufacturing environment. The proposed model has the ability to capture the performance of AM along the KPIs to draw fruitful conclusions.

A multi-criteria decision model for the selection of professional service innovative organisation

The purpose of this paper is to demonstrate an application of a multi-criteria decision model (MCDM) for the selection of best professional service organisation (PSO) from a number of available alternatives based on service innovation elements. For that purpose, a conceptual model for MCDM has been adopted. Different service innovation elements are classified into critical, objective and subjective factors in the evaluation process and the selection procedure is demonstrated with a hypothetical case. The decision to select a particular professional service organisation is very important when multiple professional service organisations are available. A quantitative basis for comparison and selection of the professional service organisation among a host of alternative professional service organisation could greatly impact on the eventual organisations brand image. Thus, an algorithm - performance value analysis (PVA), for the selection of PSO has been developed from literature. The study expands the scope for managers in selecting the best professional service organisation.

A multi-criteria decision model for the selection of professional service innovative organisation

The purpose of this paper is to demonstrate an application of a multi-criteria decision model (MCDM) for the selection of best professional service organisation (PSO) from a number of available alternatives based on service innovation elements. For that purpose, a conceptual model for MCDM has been adopted. Different service innovation elements are classified into critical, objective and subjective factors in the evaluation process and the selection procedure is demonstrated with a hypothetical case. The decision to select a particular professional service organisation is very important when multiple professional service organisations are available. A quantitative basis for comparison and selection of the professional service organisation among a host of alternative professional service organisation could greatly impact on the eventual organisations brand image. Thus, an algorithm - performance value analysis (PVA), for the selection of PSO has been developed from literature. The study expands the scope for managers in selecting the best professional service organisation.

Analysis of suppliers' preferences to a manufacturer using Kano model and performance value analysis

The approaches to achieve competitive advantages have not been actively extended along the manufacturing supply chains, as most of them are practiced in competitively putting efforts to achieve the customer satisfaction alone. Conventionally, the suppliers' outlook has been mostly ignored by the supply chains without imparting the essential emphasis what it aptly deserves. Moreover, majority of the manufacturers along the supply chains have feeble supply bases and are seriously struggling to put forth a healthy competition. This is due to negligence in accounting the extraneous influence of supplier satisfaction construct which can eventually position a manufacturer as a preferred customer. Considering the above discussed issues, there are no specific studies available in the published literature to systematically capture, plan and manage supplier's perceptions, expectations and attractions which lead to supplier satisfaction. Thus, the current study is an attempt to resolute through an approach using Kano model and performance value analysis.

Analysis of suppliers' preferences to a manufacturer using Kano model and performance value analysis

Analysis of suppliers' preferences to a manufacturer using Kano model and performance value analysis

Analyzing a manufacturer’s returns from supplier development programs

Supplier Development Programs (SDPs) have become the best modes for the manufacturers to improve their suppliers’ overall capabilities. The SDPs are used to transcend and advance the manufacturer-supplier relationships into strategic and sustainable working relationships. They are also proven to be the potential ones in developing the innovative and competitive supply sources in the value addition process. However, there must be a testing procedure for a manufacturer to know whether or not its SDPs are providing the intended returns. In this regard, several Supplier Development Outcomes (SDOs) specifically under a manufacturer’s interest have been identified. They are further analyzed against the SDPs of a manufacturer using Kano quality model integrated with performance value analysis. The said testing procedure was tried in an Indian electronic manufacturing company and the obtained results are demonstrated in this paper as a case study. The proposed procedure was proven to be beneficial to a manufacturer in knowing the efficacies of its SDPs and accordingly examine the influences acting on the SDPs.

Performance analysis of agile supply chain

Agile supply chain (ASC) is considered to be the best alternative to serve difficult markets having uncertain demand, immature and innovative products, ever changing and increasing customer expectations, etc. Continuous performance evaluation is therefore necessary to ensure competitive advantage and business sustainability. Time pressures and difficulty in application to real time situations remain the major reasons for the limited usage of the many available models for measuring agility of ASC. Also, these approaches are not necessary if supply chain managers are only interested to know the agile performance enhancement along certain specified time horizons. Therefore, a methodology is proposed by combining fuzzy analytic hierarchy process (FAHP) and performance value analysis (PVA) to analyse ASC performance along specified time horizons. This proposed approach is applied to an apparel supply chain considering three time horizons and it was observed that there was significant improvement of ASC performance after two years.

Analyzing the performance of supplier development: a case study

Purpose – The first objective of this paper is to identify the critical success factors (CSFs) and their corresponding key performance indicators (KPIs) for supplier development (SD) in a manufacturing environment. The second objective is to develop a methodology to analyze and evaluate the performance for SD using CSFs and their KPIs over the time. Design/methodology/approach – In all, 13 CSFs and their corresponding KPIs for SD are established through an extensive literature review, discussion held with managers/engineers in different Indian manufacturing companies and conducting brainstorming sessions. A methodology is proposed using analytic hierarchy process (AHP) and performance value analysis to assess and evaluate the performance of SD over the time. Findings – From an extensive analysis of the results, under the given circumstances, the growth of SD performance is positive at different progressive points along the time horizon. Research limitations/implications – This study has not been statistically validated in manufacturing supply chain for complete acceptability. Practical implications – This study provides insights into the performance evaluation of SD using CSFs and their corresponding KPIs. The managers should capture their manufacturing environment which can reflect their own priority considerations to establish the impact of each KPI on its corresponding CSF. Originality/value – Although many issues related to SD have been widely researched individually, few studies have been reported with a model to quantify, monitor, analyze, and evaluate the growth of SD performance in manufacturing environment in Indian context. The proposed model has the ability to capture the performance along KPIs and CSFs to draw fruitful conclusions regarding the success of the SD programme.

Internal benchmarking for assessment of supply chain performance

PurposeIn global scenario, many organizations own supply chains, which operate in different countries. The performance of these supply chains, owned by the same organization must be same if they operate in countries with similar economical, political, and social conditions. In this paper, an effort has been made to propose a methodology for the internal benchmarking to reduce the variability in performance among supply chains of same focal firm. The proposed methodology of internal benchmarking for assessment of supply chain performance demonstrated through a case supply chain.Design/methodology/approachA case of global supply chains is presented in which a focal firm owns three supply chains operating in three different countries. In order to assess and improve the performance of these supply chains relative to each other, a benchmarking methodology is proposed.FindingsAn extensive use of performance value analysis (PVA) and strength, weaknesses, opportunities, and threats (SWOT) analysis provided good diagnosis of supply chains. This analysis can be very useful in leveraging the supply chain drivers of various supply chains belonging to same focal organization and hence bring performance of all the supply chains at the same performance level.Originality/valueAccording to the authors' knowledge, there is no paper in the literature, which discusses the application of PVA and SWOT analysis for internal benchmarking in supply chain management and it is believed that it will be useful for supply chain managers to apply such tools to lead global development in their supply chains.

Selection of Third Party Logistics Provider in supply chain

For most of the manufacturing firms, logistics is not considered to be a core competency and it is often performed by Third Party Logistics Provider (TPLP). The present work describes an efficient decision framework for TPLP evaluation and selection in supply chain. The objective of this paper is to explain how an Analytic Hierarchy Process (AHP) and Performance Value Analysis (PVA) algorithm can be used to capture and analyse Significant Categories (SCs) and Performance Indicators (PIs) for ranking the TPLPs effectively. The application of decision framework for TPLP evaluation and selection has been demonstrated with a case situation.

Performance value analysis for the justification of the leagile supply chain

The philosophy of the Leagile Supply Chain (LASC) has been attracting the attention of academicians and industrialists all around the globe and rightly so. With increasing competition, shorter product life cycles, more demanding customers and the rising prices of resources, Supply Chain Management (SCM) thus needs the right direction towards a better paradigm besides the agile and Lean Supply Chains (LSC). Hence, the LASC provides a competitive edge compared to other types of supply chains. In this paper, an attempt has been made to develop a multi-attribute decision model: the Performance Value Analysis (PVA) to justify the LASC. The usefulness of the proposed PVA is demonstrated through a case situation.

A multi-criteria decision-making model for the justification of lean manufacturing systems

In recent years, organisations are facing stiff competition in both domestic as well as global markets due to the impact of globalisation and rapid development of technologies. To achieve a competitive advantage over other firms in these circumstances, some managers’ attempt to transform their organisation by implementing highly successful management philosophies proposed by Japanese and Western management gurus, such as Just-In-Time (JIT), Total Quality Management (TQM), Total Productive Maintenance (TPM), Six-Sigma (SS), Lean Manufacturing Systems (LMS) etc. On the other hand, some managers’ bank on highly sophisticated, technology based systems such as Flexible Manufacturing Systems (FMS), Computer Integrated Manufacturing Systems (CIMS), Information Systems (IS) that enable e-business through the use of software packages for Enterprise Resource Planning (ERP), Supply Chain Management (SCM), Customer Relationship Management (CRM) etc. But an intriguing question that has not been answered completely is: ‘how do managers make a decision of implementing a ‘management based and people oriented philosophy and practice’ (say LMS) or a technically sophisticated system (say CIMS)?’ Implementing such massive change management programmes require a strong justification for the managers to convince the top management, as it involves huge investment and creates a longstanding impact on various resources. But such justification problems are quite complex. Traditional techniques cannot be applied as they do not account for intangible factors and benefits offered, which necessitate the use of Multi-Criteria Decision-Making (MCDM) models. Hence in this paper, an attempt has been made to demonstrate the application of a MCDM model, namely, the Performance Value Analysis (PVA) to analyse the alternatives (i.e., change management programmes) based on its impact on various performance measures of an organisation. A detailed algorithm of the PVA model is demonstrated using a case situation, which showed that LMS is the best for the given situation, as it results in overall improvement in the performance of the organisation.

Evaluation of world-class manufacturing systems: a case of Indian automotive industries

Many industries are implementing World-Class Manufacturing (WCM) systems to compete in the global market. However, the researchers in the area of WCM have not paid much attention to the techniques/methodologies for the evaluation of WCM systems. This paper presents a set of validated critical success factors and their performance variables for WCM industries. The reliability and validity analyses were carried out by using the SPSS? 11.5 statistical tool on the data obtained from the Indian automotive industries. A multiattribute decision model, i.e., Performance Value Analysis (PVA), was developed for the evaluation of WCM systems. The usefulness of the model is demonstrated using a case situation of the Indian automotive industry. By utilising this model, it is expected that managers/decision makers will acquire sufficient confidence in evaluating world-class automotive industries.

PERFORMANCE VALUE ANALYSIS FOR JUSTIFICATION OF GREEN MANUFACTURING SYSTEMS

Green Manufacturing Systems (GMS) has attracted the attention of organizations all over the world. There is a general challenge offered to the field of engineering economics by the introduction of green manufacturing systems as, typically, the traditional approaches do not account for the significant intangible benefits offered by GMS. In this paper, an attempt has been made to overcome the above-mentioned deficiencies by presenting a multi attribute decision model — Performance Value Analysis (PVA) — for the justification of green manufacturing systems. The usefulness of the model is demonstrated through an illustrative example. The results clearly show that the implementation of green manufacturing systems offers far better competitive advantages over the non-green manufacturing systems.

Performance value analysis for selection of facilities location in competitive supply chain

The facility location decisions are inherently strategic and long-term in nature and are also critical to the efficient and effective operation of a competitive supply chain. The transportation, inventory and information sharing decisions can be changed in response to changes in different potential parameters of the competitive supply chain, whereas the facility location decisions are often fixed and cannot be changed, even in the medium-term. Therefore, the successful execution of the decision, i.e. selection of facilities location in competitive supply chain, would give a cutting edge to the organisation. The present work describes a decision support system i.e. performance value analysis (PVA) for a selection of facilities location in a competitive supply chain.

PERFORMANCE VALUE ANALYSIS FOR THE JUSTIFICATION OF WORLD-CLASS MANUFACTURING SYSTEMS

World-class manufacturing systems (WCMS) has attracted the attention of industries all over the world. The perceptible impact of WCMS lies in attaining the far reaching world-class standards. Attempts have been made to examine WCMS for the feasibility in Indian industries. The present work describes a performance value analysis for the justification of WCMS for Indian industries.

Multi-attribute decision models for justification of cellular manufacturing systems

There is a general challenge offered to the field of engineering economics by the introduction of advanced manufacturing systems. Typically, the traditional approaches do not account for the significant intangible benefits offered by cellular manufacturing systems. In this paper, an attempt has been made to overcome the above-mentioned deficiencies by presenting two multi-attribute decision models – analytical hierarchy process and performance value analysis – for the justification of CMS. The usefulness of the proposed models is demonstrated through a case situation.