Editorial: Special issue on resilient supply chains through innovative logistics management

• DOI: https://doi.org/10.1108/IJLM-05-2022-509
• Published date: 19 April 2022
• Date: 19 April 2022
• Pages: 385-388
• Subject Matter: Management science & operations,Logistics
• Author: Peggy S. Chen,Jiangang Fei

Editorial: Special issue on resilient

supply chains through innovative

logistics management

Global logistics and supply chai ns (SCs) have faced challenges ar ising from trade wars,

environmental issues, climate change, natural disasters, increased fuel costs, and

particularly the recent global pandemic. Businesses have foc used on increasing their SC

resilience to maintain their bus iness continuity under unexpected disruptions. This sp ecial

issue “Resilient supply chains th rough innovative logistics manageme nt”called for research

that explores firms’innovat ive business models and strategies to improve logist ics process

and SC resilience. This special i ssue focuses on developing innovative business models for

logistics and SC management from different busi nesses, industries and countries, allowing a

balanced view between theoretic al analysis and practical applicat ions.

This special issue collected in dependent papers and papers presented at the 10th Asian

Logistics Round Table (ALRT ) Conference in November 2020, hosted by the Australian

Maritime College (AMC), Univ ersity of Tasmania, Australia. The call for this special issue

was at the time when the coronavirus diseas e 2019 (COVID-19) outbreak had disrupted the

global economy, and resilien t SCs have drawn very much atten tion to governments,

businesses andgeneral public. The call for submission was opened between30 October 2020

and 31 January 2021. We received 21 su bmissions, and 17 papers were reviewed. Of the 17

papers reviewed, 8 were accepte d and included in this special issue.

The first paper in this special issue by Wan et al. (2022) is entitled “Evaluating recovery

strategies for the disruptions in liner shipping networks: a resilience approach”. This paper

establishes a novel risk-based resilience framework to measure the effectiveness of different

recovery strategies for the disruptions in liner shipping networks (LSNs). Four recovery

strategies are proposed to test the rationality and feasibility of the developed indicator in

aiding decision-making of LSNs from a resilience perspective. The analysis results reveal that

the superiorities of different recovery strategies vary depending on both the structures of

LSNs and the specific requirements during recovery. Moreover, optimizing the sequence of

ports being recovered will improve the overall recovery efficiency of the investigated LSN.

The findings of this paper will help improve managerial understandings of recovery

strategies to build more resilient LSNs.

The second paper entitled “Resil ient route selection of oversized cargo tr ansport: the case

of South Korea–Kazakhstan”by Lu et al. (202 2) evaluates the suitability of the Artic rout e for

oversized cargoes from Busan (Sou th Korea) to Balkhash (Kazakhstan). This paper adopts

the consistent fuzzy preference r elation (CFPR) method to tackle the route sel ection. With the

critical factors and alternati ve routes obtained from literatur e review and in-depth

interviews of experts of oversized c argo-handling with more than 20 years of wor king

experience, the authors use th e CFPR calculation process to identify the w eightings for each

critical factor to evaluate alte rnatives routes. They suggest th at the Northern Sea Route

(NSR) could be a suitable route from Busan to Cape Kamennyof the Ru ssian transshipment

seaport, where oversized carg oes will be transferred to the rive r barge at Cape Kamenny,

covering 4,913 km from the latte r to Balkhash of Kazakhstan via the Ob/Irtysh River. Th is

study equipped stakeholders i n route selection for cargoes with strategies and methods to

improve transportation effici ently and enhance shipping routes bet ween Asia and the

Commonwealth of Independent St ates (CIS).

Editorial

385

The International Journal of

Logistics Management

Vol. 33 No. 2, 2022

pp. 385-388

© Emerald Publishing Limited

0957-4093

DOI 10.1108/IJLM-05-2022-509