Evaluating petroleum supply chain performance

Siddharth Varma · Subhash Wadhwa · S.G. Deshmukh

105 citations0/0 files storedAsia Pacific Journal of Marketing and Logistics

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Quality and Supply Management Accounting and Organizational Management Multi-Criteria Decision Making

Abstract

Purpose Performance evaluation in supply chain management (SCM) is not a straightforward task. This becomes even more complicated while evaluating a process industry supply chain because of its inherently different characteristics. The purpose of this paper is to suggest a method to evaluate the performance of one such process supply chain, namely the petroleum industry supply chain. Design/methodology/approach The paper uses a combination of analytical hierarchy process (AHP) and balanced scorecard (BSC) for evaluating performance of the petroleum supply chain. The choice of factors determining supply chain performance under the four perspectives of BSC has been validated using opinion from subject matter experts (SMEs). In order to determine relative importance of criteria opinion of SMEs has been collected in the form of pairwise comparisons. Using these comparisons, the AHP technique has been applied to determine the relative weights of various perspectives as well as the factors under each perspective. Findings The importance of four perspectives with respect to petroleum supply chain performance in descending order of importance comes out as: customer, financial, internal business process, innovation and learning. Within these perspectives, the following factors seem to be most important respectively: purity of product, market share, steady supply of raw material and use of information technology. Practical implications Most research work has focused on discrete part manufacturing supply chains. Process industry supply chains deserve a different treatment due to their inherently different characteristics. The methodology suggested in this paper tries to include these characteristics and can help in comparing performance of supply chains of different petroleum companies. Originality/value The value of this paper lies in the unique approach towards determining the performance of process industry supply chains. By using BSC, non‐financial factors have also been taken into account. Opinion of SMEs has been quantified using the AHP technique thus converting qualitative data to quantitative data.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 105 citations exist upstream.

References

1997The balanced scorecard: Translating strategy into action 1981Methods for Multiple Attribute Decision Making 2000Issues in Supply Chain Management 1999Measuring supply chain performance 2001Performance measures and metrics in a supply chain environment 1979Multiple Objective Decision Making ― Methods and Applications: A State-of-the-Art Survey 2003Subjectivity and the Weighting of Performance Measures: Evidence from a Balanced Scorecard 2020Performance Measurement

Cited by

2015Fuzzy-based sustainability evaluation method for manufacturing SMEs using balanced scorecard framework 2014Supply chain performance evaluation with data envelopment analysis and balanced scorecard approach 2017Quantitative models for supply chain performance evaluation: A literature review 2011A SCOR based approach for measuring a benchmarkable supply chain performance 2013Using interpretive structural modelling to identify and rank performance measures 2013

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.