Mapping Quality in Extended Value Streams using Data Recorders. Issue 9 (7th April 2016)

• Record Type: Journal Article
• Authors: Olsen, Eric; Fung, Christopher; Singh, Jay; Singh, Paul
• Is Part Of: Packaging technology and science. Volume 30:Issue 9(2017)
• Page Start: 561
• Page End: 573
• Publication Date: 2016-04-07
• Subjects: lean -- quality screen -- shock and vibration testing -- supply chain -- value stream map; Packaging -- Periodicals; 688.8
• DOI: 10.1002/pts.2205
• Languages: English
• ISSNs: 0894-3214

Abstract

Abstract : This research compares three new methods and measures for mapping and evaluating the transportation segment of a value chain. The three methods are total energy, energy‐time and energy‐distance. The methods combine practices used in traditional physical distribution system analysis and extended value stream mapping (VSM) analysis. This research concludes that the energy‐distance method and measure is the most effective for analysing, comparing, and identifying opportunities for value chain improvement. It also identifies a 'U‐shape' that is characteristic of the energy transfer pattern during a transportation segment that suggests that damage from transportation may need to be screened for quality at a subsequent value chain node. Abstract : This research compares three new methods and measures for evaluating the transportation segment of a value chain. This research concludes that the energy‐distance method and measure is the most effective for analyzing, comparing, and identifying opportunities for value chain improvement. It also identifies a "U‐shape" that is characteristic of the energy transfer pattern during a transportation segment that suggests that damage from transportation may need to be screened for quality at a subsequent value chain node.