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The purpose of this paper is to present the model-driven decision support system (DSS) for small and medium manufacturing enterprises (SMMEs) that actively participates in collaborative activities and manages the planned obsolescence in production. In dealing with the complexity of such demand and supply scenario, the optimisation models are also developed to evaluate the performance of operations practices.

The model-driven DSS for SMMEs, which uses the optimisation models for managing and coordinating planned obsolescence, is developed to determine the optimal manufacturing plan and minimise operating costs. A case application with the planned obsolescence and production scenario is also provided to demonstrate the approach and practical insights of DSS.

Assessing planned obsolescence in production is a challenge for manufacturing managers. A DSS for SMMEs can enable the computerised support in decision making and understand the planned obsolescence scenarios. The causal relationship of different time-varying component obsolescence and availability in production are also examined, which may have an impact on the overall operating costs for producing manufactured products.

DSS can resolve and handle the complexity of production and planned obsolescence scenarios in manufacturing industry. The optimisation models used in the DSS excludes the variability in component wear-out life and technology cycle. In the future study, the optimisation models in DSS will be extended by taking into the uncertainty of different component wear-out life and technology cycle considerations.

This paper demonstrates the flexibility of DSS that facilitates the optimisation models for collaborative manufacturing in planned obsolescence and achieves cost effectiveness.

This paper proposes optimisation models to evaluate and examine the selling of extended warranty policies in terms of improved profits in producing/marketing remanufactured products. These models are numerically solved using a quadratic programming solution approach and implemented in the decision support system (DSS).

The purpose of this paper is to develop the optimisation models for a DSS and evaluate different warranty policies for buyers.

This study has demonstrated the flexibility and usefulness of a model-driven DSS for the quality and warranty management, which is applied to examine and evaluate different configurations (i.e. component reuse, rebuild and recycle) for remanufactured products and propose the selling of extended warranty policies for buyers.

The developed model-driven DSS can assist manufacturers to select and increase the number of components, e.g. to be reused, rebuilt, and recycled for producing a remanufactured product and propose suitable warranty policies for buyers. However, this study focusses only on the evaluation of warranty policies for specific remanufactured products in a DSS, i.e. types of air compressors for production operations in manufacturing industry.

This study developed optimisation models to be used in a DSS for proposing the selling of extended warranty of a remanufactured product to improve customer satisfaction and maximise the gained profits for manufacturers.

The purpose of this paper is to propose an approach to evaluate product performance of returned products, using four key performance attributes as the basis for improving sustainability through product recovery.

A fuzzy logic approach is developed to account a trade-off scenario for a manufactured product with recovery options. This approach is demonstrated using a numerical example and is validated using a case study in the automotive parts and components industry.

Product utilisation value (PUV) is found to be a useful index that manufacturers can use to assess product recovery options, as it brings together a number of conflicting parameters into a rationalised value for decision making. In addition, PUV provides a rationalised approach for comparing and selecting the most appropriate recovery configuration option.

The authors only utilise four key performance measures to derive PUV. Further research is needed to modify and incorporate other measures that are important to decision makers to improve sustainability in manufacturing supply chains.

The proposed approach may motivate decision makers to consider sustainable recovery options by comparing PUVs of products for primary and secondary markets. The case study demonstrated the conflict and complexity organisations face in a global supply chain of a competitive industry.

The authors propose an approach to optimise trade-off considerations of selected performance attributes through PUV. This PUV as a benchmark can help improve recovery of the returned products and reduce landfill.

Owing to the manufacturing trend of stringent product disposal regulations, a new business scenario, which requires an alternative disposal option on consumer products and further product recovery operations, is increasingly important for promoting sustainable supply chain performance. The purpose of this paper is to explore the use to post‐use stage of the product lifecycle, that may have significant potential for increasing product utilisation value and reducing product disposal to landfills.

The paper proposes a re‐classification of the 6R (reduce, recover, redesign, reuse, recycle, remanufacturing) methodology for rectifying waste minimisation along a supply chain, to increase product utilisation at the post‐use stage.

Intensive study of 6R considerations to improve end‐of‐life planning and strategy and extend of product lifecycle management is lacking. None of the existing supply chain frameworks clearly illustrates the aspects of 6R perspectives for the use to post‐use stage.

The main limitation is that this study only focuses on 6R perspective for achieving waste minimisation along a supply chain. There is a need to explore various practical issues of the implementation, including the establishment of specific performance metrics for various manufacturing industries to assess organisational performance.

This proposed sustainable supply chain for collaborative manufacturing may provide a very useful source of what needs to be implemented and achieved to meet the requirements of sustainability, which is the current and future trend of manufacturing.

This paper provides some of the insights into holistic aspects of 6R perspective to increase product utilisation value between use and post‐use stages.

Enterprises face the wrath of the government for taking part in environmental conservation and adoption of sustainable initiatives along with customer demands. Therefore, enterprises are forced to adopt sustainable supply chain practices (SSCPs), which leads to competitive advantage. Now, sustainable supply chain management (SSCM) is a management process that promotes the adoption of eco-friendly activities in conventional supply chains (SCs). Enterprises in India are under tremendous pressure to include SSCPs into their conventional SCs. The goal of this paper is to evaluate the barriers for the implementation of SSCPs into Indian Micro, Small and Medium Enterprises (MSMEs).

This study aims to identify critical barriers for adoption of SSCPs in the textile MSME SCs located in Eastern India, Odisha with the help of interpretive structural modeling (ISM).

The paper develops a framework for the evaluation of barriers to the adoption of SSCP in the textile SC. This paper also provides appropriate suggestive measures to deal with the barriers and overcome the same to attain a sustainable textile SC.

Opportunities exist for extension of this research on wider geographical area. In addition to this, some other quantitative modeling approaches can be applied, like analytical hierarchy process, to prioritize the barriers.

The framework offers help to SC managers in their decision-making process by enabling them to analyze the barriers and ways to overcome them.

The paper deals with a particular geographical area where such kinds of studies are rare. The proposed framework provides a foundation for further research.