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This study aims to identify and accurately assess the risk factors of competitors’ cooperation in the NPD project.

New product development (NPD) is essential to the survival of companies and surpassing other competitors. A key prerequisite for the success of an NPD project is the timing of new product delivery to the market. The main challenge faced by many project managers is the delay in execution and completion phases due to the complex nature and uncertainty of these projects. Rival companies' cooperation reduces the time spent on an NPD project which is an excellent way to reduce the risk of losing the market, but it increases other risk factors.

Based on the results, the security and confidentiality of innovation, the competitors attracting human resources and the company’s brand credibility factors were ranked higher than other factors and should be predicted and managed before cooperating with competitors.

This paper proposed a new model to assess risk factors in cooperation with rival companies in NPD projects. This model takes into account new parameters, for example, negative and positive risks, negative and positive passable risks and risk-based multi-objective optimization by ratio analysis plus full multiplicative form methodology for the rival companies cooperation in NPD projects. To evaluate the efficiency of the proposed model, a real case of the R&D unit of Iran Khodro Company was studied.

Within Aotearoa New Zealand (NZ) research, funding is sourced from a wide range of NZ and international governments, industries, and philanthropic organisations. This chapter primarily focusses on NZ government public sector funding of research and innovation and the impact this has on research management and administration (RMA) in NZ.

Along with an increase in the number and range of NZ organisations that compete for research funding, there has also been an increase in the complexity and range of roles that need to be undertaken by those involved in RMA. The Future Pathways green paper, released by the Ministry of Environment, Innovation & Employment in October 2021, has signalled a redesign of the ‘public’ research system, which could lead to further changes in the roles and responsibilities of RMA.

In experiential learning the lessons are taught by causing certain experiences to happen to the learner. What does it feel like to be exposed to such learning? Experiential learning is learner‐oriented; it is notoriously difficult to describe. We invited the authors to attempt to communicate it by using a learner‐oriented approach.

This paper aims to explore the optimization process involved in the aircraft maintenance allocation and packing problem. The aircraft industry misses a part of the optimization potential while developing maintenance plans. This research provides the modeling foundation for the missing part considering the failure behavior of components, costs involved with all maintenance tasks and opportunity costs.

The study models the cost-effectiveness of support against the availability to come up with an optimization problem. The mathematical problem was solved with an exact algorithm. Experiments were performed with real field and synthetically generated data, to validate the correctness of the model and its potential to provide more accurate and better engineered maintenance plans.

The solution procedure provided excellent results by enhancing the overall arrangement of the tasks, resulting in higher availability rates and a substantial decrease in total maintenance costs. In terms of situational awareness, it provides the user with the flexibility to better manage resource constraints while still achieving optimal results.

This is an innovative research providing a state-of-the-art mathematical model and an algorithm for efficiently solving a task allocation and packing problem by incorporating components’ due flight time, failure probability, task relationships, smart allocation of common preparation tasks, operational profile and resource limitations.

Business searchers of all types are asked at times to identify a company's corporate family structure. Searches of this type involve identifying the parent company and any other subordinate firms. Knowing which databases to search on Dialog and how to search them effectively is the focus of this paper.

The purpose of this paper is to provide numerical solutions of the time‐dependent advection‐diffusion problem by using B‐spline finite element methods in which Taylor series expansion is used for the related time discretization.

The solution domain is partitioned into uniform mesh. The collocation and the Galerkin methods where B‐spline functions are used as base functions are applied to advection‐diffusion equation.

Given methods are unconditionally stable and the obtained results are comparable with some earlier studies in terms of accuracy.

Quadratic and cubic B‐spline base functions are used with Taylor series expansion for the discretization of the equation.

Inspection for quality of product is performed mostly at the end of the production line. Therefore, non‐conformance is known at the time it is inspected. One solution is applying in or between process inspection. Moreover, in or between processes the required correction can be performed before parts are manufactured by the subsequent process. Compares two sequences of in‐process inspection and correction facilities. The first is where the correction is made concurrently with the process (reworking). The second involves establishment of a separate correction facility and therefore correction is performed separately (correcting). Uses process, inspection and correction costs as an economical measurement of accepted product for both sequences. On the other hand, an accepted product is not always perfectly on its target value, which will eventually result in loss to the customer. Uses a model of the sum of these costs and loss to determine the best sequence.

A hybrid flowshop (HFS) problem on the pre‐sewing o perations and a master production scheduling (MPS) problem of apparel manufacture are solved by a proposed two‐tier scheduling model. The first objective of this paper is to plan a MPS for the factory so that the costs are minimized when the production orders are completed before and after the delivery dates required by the customers. The second objective is to minimize the completion time of the pre‐sewing operations in the cutting department while the production quantities required by the sewing department at several predetermined times can be fulfilled by the cutting department. Experimentation is conducted and the results show the excellent performance of the proposed scheduling model for the apparel industry.

England has a great variety of historic buildings and monuments, often set in fine surroundings. They are our architectural heritage: a growing heritage. Of 5,500 or more buildings of special merit, at least 1,500 are open to the public. They are owned by the nation, by local authorities or non‐profit making trusts, and mostly by private individuals or families. They are spread throughout England, offering many interesting things besides the architecture itself.