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Packaging handling evaluation methods in the grocery retail industry
Author(s) -
Saghir Mazen,
Jönson Gunilla
Publication year - 2001
Publication title -
packaging technology and science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 50
eISSN - 1099-1522
pISSN - 0894-3214
DOI - 10.1002/pts.523
Subject(s) - supply chain , usable , business , product (mathematics) , retail industry , competition (biology) , packaging industry , marketing , order (exchange) , manufacturing engineering , engineering , computer science , ecology , materials science , geometry , mathematics , finance , world wide web , composite material , biology
The grocery retail industry, with its large product volumes, low margins and fierce competition, is constantly seeking efficiency improvements in its supply chain. The grocery retail industry uses an immense amount of packaging and is directly affected by packaging logistics activities. There is, therefore, a potential for efficiency improvements in the grocery retail supply chain through the integration and development of new systems of packaging and logistics. Packaging handling is identified as one of the main activities that has a strong impact on the overall logistical cost of a grocery chain. This research article investigates packaging handling evaluation methods and discusses how these are employed to benefit the industry. Case studies, involving six major companies from the Swedish grocery retail industry, have been used to evaluate packaging and logistics activities. This work, together with a literature review, was used to identify the need for evaluative methods and the present availability of such methods. The results indicated a lack of sufficient and usable packaging handling evaluation methods in today's grocery and packaging industry especially from a logistical point of view. The paper also highlights the lack of systematization among the few methods used and discusses how these can be used to build a systematic and multifunctional evaluation model in order to utilize the information from different studies to build a knowledge base for the future. Copyright © 2001 John Wiley & Sons, Ltd.