Decision Support System and Multi-Criteria Decision Aid: A State of the Art and Perspectives

Improving supplier performance and strategic sourcing decisions by integrating jobshop scheduling, inventory management and agile new product development

Purpose

The purpose of this study is to improve supplier performance and strategic sourcing decisions by integrating jobshop scheduling, inventory management and agile new product development. During the COVID-19 pandemic, the organizations have struggled a lot to maintain the supplier performance and strategic sourcing decisions in the organizational benefit. However, in this context, the organization’s agile new product development (ANPD) process must be aligned with this requirement by maintaining the inventory and jobshop scheduling. As a result, identifying ANPD indicators, performance metrics and developing a structural framework to guide practitioners at various stages for smooth adoption is essential to improve the overall performance.

Design/methodology/approach

A comprehensive literature review is conducted to identify jobshop scheduling, inventory management and ANPD indicators along with the performance metrics, and the hierarchical structure is developed with the help of expert opinion. The modified stepwise weight assessment ratio analysis (SWARA) and weighted aggregated sum product assurance (WASPAS) techniques, along with expert judgement, are used in this study to calculate the weights of the indicators and the ranking of the performance metrics.

Findings

As per the weight computation by SWARA method, the strategy indicators have the highest relative weight, followed by the product design indicators, management indicators, technical indicators, supply chain indicators and organization culture indicators. According to the ranking of performance metrics obtained through WASPAS, the “frequency of new product development is at the top”, followed by “advances in product design and development” and “estimated versus actual time to market”.

Research limitations/implications

It is believed that the framework developed will help industrial practitioners to plan effectively to improve supplier performance. The indicators identified may guide the ANPD penetration, and performance metrics may be useful for evaluation and comparison.

Practical implications

The outcomes of the present study will be extremely beneficial for the industry practitioners to improve the supplier performance. The indicators identified may guide the ANPD penetration, and performance metrics may be useful for evaluation and comparison.

Originality/value

A unique combination of modified SWARA–WASPAS technique has been used in this study which would be beneficial for organizations willing to adopt the jobshop scheduling and inventory management and ANPD for improving supply chain performance.

Methodical Aspects of MCDM Based E-Commerce Recommender System

The aim of this paper is to present the use of an innovative approach based on MCDM methods as the main component of a consumer Decision Support System (DSS) by recommending the most suitable products among a given set of alternatives. This system provides a reliable recommendation to the consumer in the form of a compromise ranking constructed from the five MCDM methods: the hybrid approach TOPSIS-COMET, COCOSO, EDAS, MAIRCA, and MABAC. Each of the methods used contributes significantly to the final compromise ranking built with the Copeland strategy. Chosen MCDM methods were combined with the objective CRITIC weighting method, and their performance was presented on the illustrative example of choosing the most suitable mobile phone. A sensitivity analysis involving the rw and WS correlation coefficients was performed to determine the match between the compromise ranking of the candidates and the rankings provided by each MCDM method. Sensitivity analysis demonstrated that all investigated compromise candidate rankings show high convergence with the rankings provided by the particular MCDM methods. Thus, the performed study proved that the proposed approach shows high potential to be successfully used as a central component of DSS for recommending the most suitable product. Such DSS could be a universal and future-proof solution for e-commerce sites and websites, providing advanced product comparison capabilities in delivering a recommendation to the user as a final ranking of alternatives.

Assessing the Broader Value of Planted Forests to Inform Forest Management Decisions

This study highlights the importance of incorporating objectively quantified, non-market environmental values (such as avoided erosion and carbon sequestration) into land use decision making for sustainable forest management. A continuously developing approach that has facilitated discussions between researchers, industries, and governments on the quantification of non-market values is the ecosystem services (ES) framework. Using a spatial economic tool, called Forest Investment Framework, this study is, to the best of our knowledge, the first assessment of the market (timber) and non-market (carbon sequestration, avoided nitrogen leaching and avoided erosion) ES values of the 1.75 million-hectare New Zealand planted forest estate. To collect the views of key planted forest industry representatives on ES assessment/quantification, we interviewed 14 forest managers representing 60% of the planted forest area. Results from the spatial economic analysis indicated that the non-market ES values can be more than four times the timber profit nationally, and up to 12 times higher in New Zealand’s most erosion-prone region. These estimated values are indicative and should be treated with caution. From a sensitivity analysis, we found that different discount rates significantly impact ES values, ratios, and distributions. Results from the interviews indicated that ES quantification helped inform decision making by supporting license to operate, while also signaling the development of a reward system for sustaining ES. Sixty-four percent of survey respondents identified the importance of quantifying ES in ecological terms and describing other non-market ES in spatial, qualitative, or binary forms. Overall, this study provided evidence of how estimated non-market ES values compare with market values and highlighted the importance of including them in decision making processes. Future cost benefit analyses that incorporate these non-market monetary ES values would complement multi-criteria analysis that integrate additional dimensions and allow decision makers to rank options based on their particular criteria.

Selecting a Best Compromise Direction for a Powered Wheelchair Using PROMETHEE

Research is described that determines the direction that a powered wheelchair will take, using the preference ranking organization method for enrichment of evaluations II (PROMETHEE II). This is the first time that this sort of decision making has been used in this type of application. A user suggests a desired direction and speed, and the decision-making system suggests a safe direction for a wheelchair. The two are mixed, and the wheelchair then tends to avoid obstacles. The inputs come from a powered wheelchair joystick and two ultrasonic transducers fixed onto the wheelchair, and the final direction is a simulation of the desired direction and a direction that moves the wheelchair away from obstacles. The arrangement assists a disabled driver to steer their wheelchairs. It uses a systematic decision-making process, and this paper presents the process and a new way of selecting a best compromise direction. Sensitivity analysis is employed to explore potentially suitable directions as uncertainty and risk may be present. A suitable direction is selected that provides a robust solution. The user would be able to override the suggestions by the PROMETHEE II system by holding the joystick in a position.