Multi-Project Management with a Multi-Skilled Workforce

Walter, Matthias

doi:10.1007/978-3-658-08036-5

Cited by 7 publications

(2 citation statements)

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“…The decision is more difficult to ground when it comes to relocating multi-skilled workers, since this entails two different types of appraisals: one related to assessing which skills are the most needed in a certain project (Walter, 2015), and the other one related to assessing which skills are outstanding for a certain team member. The reverse of this situation presents an advantage, on the premise of a small organization, the multi-skilled worker is way more suitable for project coupling between projects that are somewhat dissimilar in their relative scopes.…”

Section: Several Implications Of Project Coupling Based On Knowledge ...mentioning

confidence: 99%

A Managerial Framework for Project Coupling Decisions: Project Knowledge Transfer Through Team Members Relocation

CARAMIDARU¹

2023

Proceedings of the International Management Conference

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Multi-project organizations regularly appeal to project coupling - defined as human resources relocation across simultaneous or consequent comparable projects - as a mean of knowledge transfer. This fact requires identifying the managerial context and parameters of project coupling as this decision is linked to project comparisons and project knowledge cycles. The aim of this paper consist in proposing a managerial framework for a systematic guidance of project coupling decisions. As a result of the current research the framework proposed is one operating against the background of an organizational commitment to retention of successful team members and to adequate project reviews. The framework takes into account two categories of guiding criteria for project coupling decisions: the need for project comparisons (in terms of scope, knowledge deliverables and stakeholder networks) and, on the other hand, a dynamic tridimensional (biographical, baseline compliant, relational) knowledge profile of project team members.

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Section: Several Implications Of Project Coupling Based On Knowledge ...mentioning

confidence: 99%

A Managerial Framework for Project Coupling Decisions: Project Knowledge Transfer Through Team Members Relocation

CARAMIDARU¹

2023

Proceedings of the International Management Conference

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“…They assumed that each task requires several skills with a minimum level per skill and its processing time is related to resource efficiency. The book of [15] covers three versions for multi-project scheduling, namely project selection and scheduling, workforce assignment, and resource leveling. In the recent paper of [16], an integrated model of multi-mode and multi-skill project scheduling problem is considered.…”

Section: A Multi-project Multi-skill Resources-constrained Project Sc...mentioning

confidence: 99%

A Hybrid Heuristic for a Two-Agent Multi-Skill Resource-Constrained Scheduling Problem

Haroune¹,

Dhib²,

Néron³

et al. 2022

IJACSA

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This paper addresses an industrial case of the twoagent scheduling problem with a global objective function. Each agent manages one or several projects and competes with another agent for the use of common multi-skilled employees. There is a pool of employees, each of which can perform a set of skills with heterogeneous performance levels. The objectives of the two agents are both to minimize the total weighted tardiness of its tasks. Furthermore, We assume that some constraints (soft constraints) can be violated when there is no feasible schedule for the problem. Thus, the global objective function minimizes the constraint violations by reducing the undesirable deviations in the soft constraints from their respective goals. The overall objective is to find a schedule that minimizes both agents objective functions (local objectives) and the global objective function. We provide a mixed-integer goal programming (MIGP) formulation for the problem. In addition, we present a hybrid algorithm combining an exact procedure, a greedy heuristic, and a genetic algorithm to find an approximate Pareto solution set. We compare the performance of the hybrid algorithm against the corresponding MIGP formulation with simulated instances derived from realworld instances.

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Decision Support Model for the Configuration of Multidimensional Resources in Multi-project Management

Wikarek

Sitek

Banaszak

2021

Computational Collective Intelligence

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Multi-Project Management with a Multi-Skilled Workforce

Cited by 7 publications

References 0 publications

A Managerial Framework for Project Coupling Decisions: Project Knowledge Transfer Through Team Members Relocation

A Managerial Framework for Project Coupling Decisions: Project Knowledge Transfer Through Team Members Relocation

A Hybrid Heuristic for a Two-Agent Multi-Skill Resource-Constrained Scheduling Problem

Decision Support Model for the Configuration of Multidimensional Resources in Multi-project Management

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