Industrial product service system: A case study from the agriculture sector

Aiman Ziout; Ahmed Azab

doi:10.1016/j.procir.2015.06.013

Industrial product service system: A case study from the agriculture sector

Aiman Ziout
, Ahmed Azab^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

22 Scopus citations

Abstract

Recent research shows that manufacturers' contribution to sustainable development can be improved by adopting a product service system (PSS). It is argued in this paper that such non-traditional business strategy is a crucial decision to the enterprise. Metrics need to be identified at different levels: industry, enterprise, and product. The objective of this research is to identify PSS metrics for agriculture industry. PESTEL analysis is carried out to determine these metrics. A case study of a grain spreader is used to derive the appropriate metrics. Decision model is developed and its can be implemented by the PSS partners.

Original language	English
Pages (from-to)	64-69
Number of pages	6
Journal	Procedia CIRP
Volume	33
DOIs	https://doi.org/10.1016/j.procir.2015.06.013
State	Published - 2015
Externally published	Yes
Event	9th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2014 - Capri, Italy Duration: 23 Jul 2014 → 25 Jul 2014

Bibliographical note

Publisher Copyright:
© 2014 The Authors. Published by B.V.

Keywords

Decision making
Manufacturing
Product service system

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.procir.2015.06.013

Cite this

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title = "Industrial product service system: A case study from the agriculture sector",

abstract = "Recent research shows that manufacturers' contribution to sustainable development can be improved by adopting a product service system (PSS). It is argued in this paper that such non-traditional business strategy is a crucial decision to the enterprise. Metrics need to be identified at different levels: industry, enterprise, and product. The objective of this research is to identify PSS metrics for agriculture industry. PESTEL analysis is carried out to determine these metrics. A case study of a grain spreader is used to derive the appropriate metrics. Decision model is developed and its can be implemented by the PSS partners.",

keywords = "Decision making, Manufacturing, Product service system",

author = "Aiman Ziout and Ahmed Azab",

note = "Publisher Copyright: {\textcopyright} 2014 The Authors. Published by B.V.; 9th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2014 ; Conference date: 23-07-2014 Through 25-07-2014",

year = "2015",

doi = "10.1016/j.procir.2015.06.013",

language = "English",

volume = "33",

pages = "64--69",

journal = "Procedia CIRP",

issn = "2212-8271",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - Industrial product service system

T2 - 9th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2014

AU - Ziout, Aiman

AU - Azab, Ahmed

PY - 2015

Y1 - 2015

N2 - Recent research shows that manufacturers' contribution to sustainable development can be improved by adopting a product service system (PSS). It is argued in this paper that such non-traditional business strategy is a crucial decision to the enterprise. Metrics need to be identified at different levels: industry, enterprise, and product. The objective of this research is to identify PSS metrics for agriculture industry. PESTEL analysis is carried out to determine these metrics. A case study of a grain spreader is used to derive the appropriate metrics. Decision model is developed and its can be implemented by the PSS partners.

AB - Recent research shows that manufacturers' contribution to sustainable development can be improved by adopting a product service system (PSS). It is argued in this paper that such non-traditional business strategy is a crucial decision to the enterprise. Metrics need to be identified at different levels: industry, enterprise, and product. The objective of this research is to identify PSS metrics for agriculture industry. PESTEL analysis is carried out to determine these metrics. A case study of a grain spreader is used to derive the appropriate metrics. Decision model is developed and its can be implemented by the PSS partners.

KW - Decision making

KW - Manufacturing

KW - Product service system

UR - https://www.scopus.com/pages/publications/84939824695

U2 - 10.1016/j.procir.2015.06.013

DO - 10.1016/j.procir.2015.06.013

M3 - Conference article

AN - SCOPUS:84939824695

SN - 2212-8271

VL - 33

SP - 64

EP - 69

JO - Procedia CIRP

JF - Procedia CIRP

Y2 - 23 July 2014 through 25 July 2014

ER -

Industrial product service system: A case study from the agriculture sector

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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Cite this