Framework for organizational structure re-design by assessing logistics’ business processes in harbor container terminals

Besri, Zineb; Boulmakoul, Azedine

doi:10.1016/j.trpro.2017.03.023

Cited by 14 publications

(11 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kim and Shin (2014) propose a process mining methodology to discover and analyze receiving and shipping processes by extracting event logs from a Warehouse Management System by proposing a combination of process mining and simulation techniques. Besri and Boulmakoul (2017) investigate the relationship between port business processes and organizational structuring and recommend a software solution as a framework for organizational structure re-design. Gonzalez et al (2006) propose an algorithm applied for workflow mining and compression purposes and construct supply chain workflows based on Radio Frequency Identification MABR 4,1 (RFID) data.…”

Section: Theoretical Application Of Business Process Management In Thmentioning

confidence: 99%

“…and re-engineering studies are based on optimization and simulation tools and grouped by niche port operationsAngeloudis and Bell (2011),Wong and Kozan (2010),Legato et al (2009), Casey and Kozan(2012), Golias et al (2009), Alvarez et al (2010), Golias (2011), Zeng et al (2017), Rida (2014), Kang et al (2008), Zhen (2016), Wasesa et al (2017), Kondratyev (2015), Beškovnik and Twrdy (2010), Elbert et al (2017), Zhao and Goodchild (2013), Guan and Liu (2009), Chen and Yang (2010) Papers dedicated to process mining, discovery and modeling focus on algorithm development or improvement and on specific sub-process or niche port operations Wang et al (2013), Wang et al (2014), Elbert et al (2016), Lyridis et al (2005), Pulshashi et al (2015), Sutrisnowati et al (2015), Cabanillas et al (2014), Lau et al (2009),Kim and Shin (2014),Besri and Boulmakoul (2017),Gonzalez et al (2006) Gerke et al (2009). Only a few port studies incorporate both upstream and downstream concepts of the BPM project cycleIslam et al (2013),Meng et al (2009) …”

mentioning

confidence: 99%

See 1 more Smart Citation

Business process management in the port sector: a literature review

Saragiotis

2019

MABR

View full text Add to dashboard Cite

Purpose This paper aims to review the application of business process management (BPM) in the port sector. Its objective is to understand whether BPM principles are applied in the port sector, the role of the procedural factor in port performance evaluation and whether electronic data interchange systems have been used for process management purposes. Design/methodology/approach The objective of this research is to conduct a critical review of existing academic literature in the domain of BPM and its application in the ports sector. This paper assessed more than a hundred recent publications, from key journals in the domains of port economics, BPM and information technology. The two principle platforms used are the online databases of the World Bank Group and the University of Antwerp. Findings Academic literature reviewed reveals a partial application of BPM in the port and maritime sector. BPM related research is conducted via the utilization of modeling algorithms or optimization and simulation tools. There exists evidence that electronic data interchange (EDI) data extracted from EDI platforms can be used to model inter-organizational business processes in several industries. Yet, to the best of the author’s knowledge, no research investigates Port Community System (PCS) or single window (SW) data utilization for BPM purposes, although PCS and SW benefits are well documented. Port performance is largely assessed based on the production theory, and limited number of studies use elements of procedural efficiency as variables for their analysis. Originality/value The holistic application of BPM has been researched in numerous industries but in the port sector. This paper constitutes the first section of an original research study to define key components, assumptions and constraints for developing a comprehensive BPM framework in the port sector.

show abstract

Section: Theoretical Application Of Business Process Management In Thmentioning

confidence: 99%

mentioning

confidence: 99%

Business process management in the port sector: a literature review

Saragiotis

2019

MABR

View full text Add to dashboard Cite

show abstract

“…Eigenvector centrality is the last centrality measure that was utilized in this work. The eigenvector is arguably one of the most commonly used global measures of centrality (Besri & Boulmakoul, 2017 ; Li et al, 2020 ). The eigenvector of a firm depends on the importance of other firms connected to the firm.…”

Section: Introductionmentioning

confidence: 99%

Firm-Level Analysis of Global Supply Chain Network: Role of Centrality on Firm’s Performance

Lavassani

Movahedi

2021

JGBC

View full text Add to dashboard Cite

Over the past few years, academics and practitioners have started paying more attention to analyze and understand value creation and business models from a business ecosystem perspective. Such business ecosystems have been constructed based on the connected networks of people, firms, industries, and countries. Developing strategies to help sustain the firms’ competitive advantage in business ecosystems is a key challenge for businesses and policymakers worldwide. Recent disruptions to global supply chains due to the COVID-19 pandemic have exposed the high risk and challenges of managing sustainable global and intertwined supply chain networks. Using the data mined from financial records, the present study constructs the global supply chain network of the auto manufacturing sector. The data from 32,396 notable first-tier forward and backward supply chain connections were mined to build the global supply chain network in this sector. The global supply chain network structure was analyzed using centrality measures and clustering analysis. We utilized path analysis to explore the effect of various supply chain centrality measures on firms' financial performance, investment risk, and market value volatility. The findings provide new insight into our understanding of the relationship between the firm's location characteristics in the global supply chain ecosystem and various aspects of the asset's performance. Furthermore, discussions are presented about strategies that support sustainable collaborative value creation and sustainable competitiveness of businesses across the global manufacturing ecosystems. The research method used in this study has the potential to be applied to several industries. Supplementary Information The online version contains supplementary material available at 10.1007/s42943-021-00026-8.

show abstract

“…Graph-database is chosen because it can store only activities but also their relations, so it negates the steps of checking all possibilities relationships which are expected to reduce the time complexity. This graph-based algorithm is applied in Neo4j [11,12] by using Cypher syntax [13]. As a summary, the major contributions of this research are: [1] The graph-based algorithm is an algorithm that can depict a process model containing invisible tasks.…”

Section: Introductionmentioning

confidence: 99%

Graph-Based Algorithms for Discovering a Process Model Containing Invisible Tasks

Sarno¹,

Sungkono²,

Johanes³

et al. 2019

IJIES

View full text Add to dashboard Cite

An event log records the business processes of a company. Modeling event logs aim to help users in analyzing business processes. One of the problems in modeling event logs automatically is the addition of invisible tasks. Invisible tasks are dummy activities, other than activities of an event log, that are added to a process model to describe a correct process model. This research proposes a graph-based algorithm to mine the data from an event log. From the data, the graph-based algorithm establishes an additional-invisible-task process model by converting all of the processes in the event log into a link list and adding invisible tasks and operators for parallel relations, such as XOR Split or XOR Join. The experimental analysis explains that the fitness of the discovered process models by the graph-based algorithm was as high as that of compared algorithms, such as Alpha# models, Alpha$ models, CHMM-NCIT models, and CHMM-IT models. Furthermore, the graph-based algorithm is more efficient than existing algorithms. This was proven by the time complexity of the graph-based, which is O(n 2 ) while both of Alpha# and Alpha$ algorithm have a time complexity of O(n 4 ) and both of CHMM-IT and CHMM-NCIT algorithm have O(n 3 ).

show abstract

Framework for organizational structure re-design by assessing logistics’ business processes in harbor container terminals

Cited by 14 publications

References 6 publications

Business process management in the port sector: a literature review

Business process management in the port sector: a literature review

Firm-Level Analysis of Global Supply Chain Network: Role of Centrality on Firm’s Performance

Graph-Based Algorithms for Discovering a Process Model Containing Invisible Tasks

Contact Info

Product

Resources

About