A game-based approach towards facilitating decision making for perishable products: An example of blood supply chain

Katsaliaki, Korina; Mustafee, Navonil; Kumar, Sameer

doi:10.1016/j.eswa.2013.12.038

Cited by 76 publications

(45 citation statements)

References 19 publications

(16 reference statements)

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“…van der Zee [19] were the first to propose a formal conceptual model of simulation-based serious games to integrate discrete event simulation within gaming environments. Discrete event simulation was successfully used in supporting serious games [20]- [22]. There have been few attempts in various games to build roles similar to the optimisation role to provide players with suitable solution for the current situations they faced, but these trials lacked formal frameworks, and did not focus on measuring the optimizer's effect on leveraging knowledge, but instead, it focused on measuring the effect of the whole game on achieving learning [20].…”

Section: Simulation-based Serious Gamesmentioning

confidence: 99%

Applications of Optimisation in Serious Games Design: An Integrated Framework

Tobail¹,

Arisha²

2017

INTED Proceedings

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It is becoming increasingly difficult to adapt new teaching methods especially when addressing complex subjects of management such as operations management (OM) and supply chain management (SCM). Simulation-based serious gaming is one of the promising new approaches that leverage the learning ability for the current students -known as Digital era generation. Literature review shows few to no attempts to offer formal guidelines for the development process of serious games that are designed for education purposes. Combining and balancing objectives of learning, entertaining, keeping an active instructor role, while collecting real-time learning efficiency indicators is the main purpose of this study. The study proposes a comprehensive framework to underpin the development of simulation-based serious game -AUSUM (AUtomobile SUpply chain Management) -that can be used to support learning supply chain concepts such as supplier selection, production planning, order fulfilment, inventory management and more. Results demonstrate a very high satisfaction level from the learners on the usability and learning technique. Integrating optimisation with simulation has also enabled the game to offer different learning modes with different configurations in order to accommodate the level of learners and style of learning.

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Section: Simulation-based Serious Gamesmentioning

confidence: 99%

Applications of Optimisation in Serious Games Design: An Integrated Framework

Tobail¹,

Arisha²

2017

INTED Proceedings

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“…Katsaliaki et al [63] present a game approach in facilitating decision making for perishable products and argue that playing the various game levels would improve understanding and performance.…”

Section: Levellingmentioning

confidence: 99%

Lu-Lu: A framework for collaborative decision making games

Daylamani-Zad

Angelides

Agius

2016

Decision Support Systems

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This paper proposes Lu-Lu as an add-on architecture to open MMOGs and social network games, which has been developed to utilise a key set of ingredients that underline collaborative decision making games as reported within the research literature: personalisation, team matching, non-optimal decision making, leading, decisiveness index, scoring, levelling, and multiple stages. The implementation of Lu-Lu is demonstrated as an add on to the classic supply chain beer game, including customisation of Lu-Lu to facilitate information exchange through the Facebook games platform, e.g. Graph API and Scores API. Performance assessment of Lu-Lu using Behaviour Driven Development suggests a successful integration of all key ingredients within Lu-Lu's architecture, yielding autonomous behaviour that improves both player enjoyment and decision making.

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“…Supply chains for perishable items consist of products with a fixed shelf life and limited production/collection; managing them requires competent decision-making (Katsaliaki et al, 2014). Risk is inherent in many economic activities especially for production activities where results of decisions made today may have different outcomes depending on future events (Mirzapour Al-eHashem et al, 2012).…”

Section: Literature Reviewmentioning

confidence: 99%

A two-stage production planning model for perishable products under uncertainty

Jey¹,

Javanshir²,

Mohajeri³

2017

10.5267/j.uscm

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In this study, a multi-product, multi-period and non-linear programming model is developed for production planning problem where demand is under uncertainty. The proposed study is designed for a real-world case study of chemicals production factory with 1 production line and 2 manual and automatic technologies. In manual technology, workers are working with 3 amateur, typical and professional skills in 2 typical and overtime working. Automatic technology in this system has n machines in which the repairing and maintenance of the machineries are also included. This system has n products and the products are life-limited and with diversity. The primary goal is to propose a model for improvement of the production planning and minimization of the production system costs. The products in high volume and various types are produced and they are stored in bottles as the final products. For different production periods, the human forces capacities are considered and the level of employment or forces dismissal are considered. The production process is forwarding and backward process is not acceptable; that is, it is not allowable to rework in this system. Delivering final product from stockpiles to the retailers is conducted using vehicles with limited capacity. To solve the model in larger space and because of the complexity of the model, meta-heuristic algorithm is used. Finally, it is concluded that due to covering most of the assumptions in perishable products production, the proposed model is closer to the real-world circumstances and reduces costs in production systems.All rights reserved. Growing Science Ltd. 7

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A game-based approach towards facilitating decision making for perishable products: An example of blood supply chain

Cited by 76 publications

References 19 publications

Applications of Optimisation in Serious Games Design: An Integrated Framework

Applications of Optimisation in Serious Games Design: An Integrated Framework

Lu-Lu: A framework for collaborative decision making games

A two-stage production planning model for perishable products under uncertainty

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