Algorithms and Optimization for Project Management and Supply Chain Management
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Combinatorial Optimization, Graph, and Network Algorithms".
Deadline for manuscript submissions: 15 November 2024 | Viewed by 6179
Special Issue Editor
Interests: machine learning with optimization algorithms and applications; sustainable smart scheduling; logistics and supply chain management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
It is my pleasure to invite you to submit your cutting-edge and contemporary research on optimization algorithms to solve different operation management problems. The key application areas of this Special Issue are project management and supply chain management. Fundamentally, project scheduling has been considered one of the critical tasks in project management, which predominantly assumes scheduling project activities by satisfying precedence and resource constraints. By virtue of proper project scheduling, a project manager can determine the timeline, allocate resources, plan for the budget, and most importantly get a sense of the reality of delivering the project (Chakrabortty et al., 2019). Nevertheless, due to the COVID-19 pandemic and its subsequent impacts, traditional project management and scheduling are now characterized by volatility, uncertainty, complexity, and ambiguity. Thus, to sustain a nation’s economic growth and competitiveness in the new reality, it is vital not to cancel but to optimize affected or vulnerable project portfolios (Chakrabortty and Ryan, 2020).
To do so, embedding business reforms, accelerating the digital transformation of classical projects, and implementing advanced technologies and automation programs (e.g., artificial intelligence-based approaches) in supply chain and project management problems can encourage better business agility, which is potentially a shortcoming in the available literature (Rahman et al., 2021). Moreover, in practice, while scheduling activities for multiple projects in dynamic environments, project managers face challenges typically due to the lack of timely, accurate, and consistent information; finite resource transfer times and interdependencies among activities of different projects; and uncertain activity interruptions. Therefore, to avoid these issues, an integrated framework considering both project management features and supply chain drivers, advanced solution approaches, and better ways of dealing with uncertainties (e.g., artificial-intelligence-based) can lead to an optimal decision support system for the whole business.
This Special Issue aims to bring together optimization algorithms to optimize supply chain drivers (e.g., supplier selection, make or buy decision, subcontracting or overtime option, project compression or project crashing, inventory handling, number of orders, lead times, supply uncertainty, lead time uncertainty, product availability) while simultaneously managing projects.
References
CHAKRABORTTY, R., ABBASI, A. & RYAN, M. J. 2019. A risk assessment framework for scheduling projects with resource and duration uncertainties. IEEE Transactions on Engineering Management.
CHAKRABORTTY, R. K. & RYAN, M. J. Robust Optimization Based Heuristic Approach for Solving Stochastic Multi-Mode Resource Constrained Project Scheduling Problem. 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2020. IEEE, 1157-1161.
RAHMAN, H. F., CHAKRABORTTY, R. K., ELSAWAH, S. & RYAN, M. J. 2021. Energy-Efficient Project Scheduling with Supplier Selection in Manufacturing Projects. Expert Systems with Applications, 116446.
Dr. Ripon Kumar Chakrabortty
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- resource-constrained project scheduling problems (RCPSPs)
- project management
- scheduling problems in segments of a supply chain
- scheduling problems in logistics, transport, timetabling, sports, healthcare, engineering, energy management, etc.
- vehicle routing
- scheduling under uncertainty
- scheduling under resource constraints
- agent based scheduling
- real-time scheduling
- scheduling heuristics and metaheuristics
- evolutionary algorithms
- approximation algorithms
- enumerative algorithms
- complexity issues
- artificial intelligence
- decision making and analytics
- supply chain risk management
- project risk management
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.