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The purpose of this study is developing a new buy-back coordination contract in the symbiotic supply chain. In this new contract, the goal of the supply chain members (profit maximization) is realized.

This paper encourages the manufacturer to order products optimally by presenting a new buy-back coordination contract, and in return, the supplier undertakes to buy the unsold products from the manufacturer at the buy-back price. By using data-driven decision-making and multiobjective decision-making and considering the existing conditions in the symbiosis industry, a contract has been presented that guarantees the profits of supply chain members.

In this paper, it was found out how the authors can determine the order quantity, buy-back price and wholesale price in a symbiotic supply chain in such a way that it makes a profit for both the supplier and the manufacturer. In other words, how to determine these variables to encourage the manufacturer to order more quantity to the supplier so that both will benefit.

To the best of the authors’ knowledge, this is the first paper that defines a new buy-back coordination contract in the symbiotic supply chain by considering uncertain demand and a multiobjective model. Due to the importance of environmental issues, the sharing of resources by companies and organizations with each other, and the necessity of their cooperation, industries are moving toward a symbiosis industry.

Green building information modelling (BIM) has been highlighted as an essential topic owing to its potential benefits. However, both Green Star and BIM are still in their earlier stages in New Zealand. This paper aims to examine and evaluate the benefits, barriers/challenges and solutions for the integration of Green Star and BIM in New Zealand.

In this paper, a total of 77 responses collected from construction professionals in New Zealand using questionnaires were analysed through descriptive and statistical tests.

Building performance modelling used for Green Star assessment can be implemented using BIM; this was highlighted as the most significant benefit of the integration. Whereas, the most significant barrier preventing the integration of Green Star and BIM was the fact they are two completely separate processes. Regarding the solutions for the integration, showcasing BIM-Green Star benchmark projects was considered as the most effective solution amongst a range of eight provided.

The research provided insights into Green Star–BIM integration in New Zealand. By evaluating the significance of the benefits, barriers/challenges and solutions for the integration, this research could be used as a guideline for Green Star and BIM development by New Zealand Green Building Council (NZGBC), the Government and construction practitioners in New Zealand. Specifically, the results here could be valuable inputs for Green Star manuals and the New Zealand BIM handbook.

Informed by acoustic design standards, the built environments are designed with single reverberation times (RTs), a trade-off between long and short RTs needed for different space functions. A range of RTs should be achievable in spaces to optimise the acoustic comfort in different aural situations. This paper proclaims a novel concept: Intelligent passive room acoustic technology (IPRAT), which achieves real-time room acoustic optimisation through the integration of passive variable acoustic technology (PVAT) and acoustic scene classification (ASC). ASC can intelligently identify changing aural situations, and PVAT can physically vary the RT.

A qualitative best-evidence synthesis method is used to review the available literature on PVAT and ASC.

First, it is highlighted that dynamic spaces should be designed with varying RTs. The review then exposes a gap of intelligently adjusting RT according to changing building function. A solution is found: IPRAT, which integrates PVAT and ASC to uniquely fill this literature gap.

The development, functionality, benefits and challenges of IPRAT offer a holistic understanding of the state-of-the-art IPRAT, and a use case example is provided. Going forward, it is concluded that IPRAT can be prototyped and its impact on acoustic comfort can be quantified.