Modelling and optimisation of Indian traditional agriculture supply chain to reduce post-harvest loss and CO2 emission

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Cited in

Pages	1817-1841
DOI	https://doi.org/10.1108/IMDS-09-2016-0383
Published date	16 October 2017
Date	16 October 2017
Author	Manivannan Chandrasekaran,Rajesh Ranganathan
Subject Matter	Information & knowledge management,Information systems,Data management systems,Knowledge management,Knowledge sharing,Management science & operations,Supply chain management,Supply chain information systems,Logistics,Quality management/systems

Modelling and optimisation of

Indian traditional agriculture

supply chain to reduce

post-harvest loss and CO

emission

Manivannan Chandrasekaran and Rajesh Ranganathan

Department of Mechanical Engineering, Coimbatore Institute of Technology,

Coimbatore, India

Abstract

Purpose –The purpose of this paper is to reduce the post-harvest loss occurring through respiration and

emission produce by the selected produces, during logistics. This paper proposes a supply chain (SC)

structure for the Indian traditional agriculture SC planning model to reduce post-harvest loss and mixed

closed transportation to reduce CO

emission.

Design/methodology/approach –The Indian agriculture SC structure is modeled and solved by genetic

algorithm using a MATLAB Optimization toolbox. The respiration rate is measured by a static method.

These values are applied in an SC planning model and the post-harvest loss and its corresponding CO

emission are estimated.

Findings –This paper proposes a supply structure for the Indian traditional agriculture SC to reduce the

post-harvest loss; the experiments measured the respiration rate to estimate the CO

emission. The mixed

closed transportation method is found to be suitable for short-purpose domestic transportation.

Research limitations/implications –The optimized supply structure leads to unemployment through

eliminating the intermediaries. Therefore, further research encourages the conversion of intermediaries into

hub instead of eliminating them.

Practical implications –This paper includes implications for the development of Indian traditional

agriculture SC by an optimized supply structure and novel transportation method for the selected agriculture

produces based on compatibility.

Originality/value –This paper identified that the agriculture produces respiration can also emit the CO

The closed transportation method can reduce the CO

emission of produces respiration than traditional open

transportation.

Keywords Transportation, Carbon dioxide emission, Post-harvest losses, Respiration,

Supply chain planning

Paper type Research paper

Nomenclature

Sets

nProduces

fFarmers

gAgents

aAuctioneers

lWhole sellers

rRetail store

eCustomer

DDemand or production

QSupply quantity

TTransport quantity

WLoss quantity

PQ Supply percentage

PW Loss percentage

CCarbon dioxide emission

Industrial Management & Data

Systems

Vol. 117 No. 9, 2017

pp. 1817-1841

Emerald Publishing Limited

0263-5577

DOI 10.1108/IMDS-09-2016-0383

Received 20 September 2016

Revised 28 February 2017

30 May 2017

Accepted 14 June 2017

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www.emeraldinsight.com/0263-5577.htm

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1817

Indian

traditional

agriculture

supply chain

Decision variables

Demand or production of n

produces

nfg