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The purpose of this study was to explore participants’ fit perceptions of customized garments and investigate the factors that affected the customized fit.

Because different patternmaking methods generate varied fit results, eight customized dresses were developed for four fit models aged 18–25 using two different made-to-measure (MTM) systems (Gerber AccuMark and Telestia Creator). The authors designed a questionnaire to assess the fit of the final garments on each of the four models. A total of 12 participants (four fit models and eight experts) attended a live evaluation meeting and completed the questionnaire. The quantitative and qualitative data of the participants’ fit perceptions were collected and analyzed.

The authors compared the fit outputs of the two MTM systems and determined the fit issues from the participants’ perceptions. The results showed that the participants evaluated the customized fit mainly according to the ease, seam placement and wrinkle occurrence. The majority of fit models and experts preferred Dress B created using Telestia Creator to Dress A developed using Gerber AccuMark. The participants’ fit perceptions also revealed that many factors, such as the MTM systems, participants’ fit preferences, models’ body characteristics, fabric and ease, impacted the fit results. In addition, the experts perceived more fit issues than the models.

The fit output comparison of the two MTM systems could be valuable for pattern makers to use the systems. The research results would also be useful for apparel companies to conduct a fit evaluation and improve their customization processes.

A continuous positive airway pressure (CPAP) device is one of the main treatments for obstructive sleep apnea (OSA) patients. Most patients treated by this method complain about the comfortableness of the mask, but the commercial mask cushions are only available in fixed sizes. Therefore, the purpose of this paper is to apply the rapid tooling (RT) technique to manufacture customized nasal mask cushions, to increase the performance and with price competitiveness.

The patient's face was first duplicated twice by Hygrogum and plaster. The face model, on which the cushion CAD design was based, was digitized by the reverse‐engineering technology. The RT of the cushion was then designed and manufactured by two rapid prototyping techniques – Objet's PolyJet and shape deposition manufacturing (SDM). Finally, silicone was cast into the RT to obtain customized cushions. The customized cushion was compared with two other commercial cushions through fit testing and cost estimation.

The proposed approach can successfully manufacture customized cushions within a day. The SDM process has advantages in this application over Objet's system. The fit testing showed that the fit factor of the customized cushion was better and less loading was required, which should lead to great improvement in the patient's comfort. Moreover, the price‐to‐performance ratio of the customized cushion can be lower than the commercial ones if more than three cushions were made by a single rapid tool.

This paper has proposed a new application of RT on customized nasal mask cushions for CPAP devices. The customized cushion has lower price‐to‐performance ratio and the cost remains competitive.

This paper aims to develop a customized orthosis for treating congenital talipes equinovarus (clubfoot) deformity. Complications from non-surgical treatment method such as Ponseti method leads to relapse/recurrence of the foot after treated.

An alternate approach for treating clubfoot deformity can be seen as a viable approach to overcome the above-mentioned difficulties. Customized orthosis is designed and developed for a subject affected with right clubfoot deformity through fused deposition modeling of additive manufacturing (AM) technology with ABS plastic as base material. A unique mechanism is used to develop customized orthosis for achieving rotation of the foot along the three axis and range of motions.

Developed orthosis is incorporated with a unique mechanism that can be rotated and arrested at the specified angle along the three principle ranges of motion of the foot. Overall weight of the developed customized orthosis achieved is about 284 g, which has a significant 25 per cent reduction in weight when compared to traditional Ponseti casting method. Overcoming the difficulties faced in Ponseti method, customized orthosis can be an alternative method for treating clubfoot.

Developed orthosis will be an alternative approach for treating clubfoot deformity, and it overcomes the drawbacks faced by Ponseti method.

The purpose of this paper is to demonstrate the route to digitize the customized mandible implants consisting of image acquisition, processing, implant design, fitting rehearsal and fabrication using fused deposition modeling and electron beam melting methodologies.

Recent advances in the field of rapid prototyping, reverse engineering, medical imaging and image processing have led to new heights in the medical applications of additive manufacturing (AM). AM has gained a lot of attention and interest during recent years because of its high potential in medical fields.

Produced mandible implants using casting, milling and machining are of standard sizes and shapes. As each person’s physique and anatomical bone structure are unique, these commercially produced standard implants are manually bent before surgery using trial and error methodology to custom fit the patient’s jaw. Any mismatch between the actual bone and the implant results in implant failure and psychological stress and pain to the patient.

The novelty in this paper is the construction of the customized mandibular implant from the computed tomography (CT) scan which includes surface reconstruction, implant design with validation and simulation of the mechanical behavior of the design implant using finite element analysis (FEA). There has been few research studies on the design and customization of the implants before surgery, but there had been hardly any study related to customized design implant and evaluating the biomechanical response on the newly designed implant using FEA. Though few studies are related to FEA on the reconstruction plates, but their paper lacks the implant design model and the reconstruction model. In this research study, an integrated framework is developed for the implant design, right from the CT scan of the patient including the softwares involved through out in the study and then performing the biomechanical study on the customized design implant to prove that the designed implant can withstand the biting and loading conditions. The proposed research methodology which includes the interactions between medical practitioners and the implant design engineers can be incorporated to any other reconstruction bone surgeries.

This article examines how reinsurance coupled with new financial instruments can expand coverage to areas exposed to catastrophe losses from natural disasters, and demonstrates how reinsurance and the catastrophe‐linked financial instruments can be combined to lower the price of protection from its current level. A simple example illustrates the relative advantages and disadvantages of pure catastrophic bonds and pure indemnity reinsurance in supporting a structure of payments contingent on certain extreme events occurring. The authors suggest ways to combine these two instruments using customized catastrophe indices to expand coverage and reduce the cost of protection. This article states six principles for designing catastrophic risk transfer systems and discusses practical issues for implementation, and then concludes with suggestions for future research.

This paper aims to propose a new solution for producing customized three-dimensional (3D)-printed flat-shaped splints, which are then thermoformed to fit the patient’s hand. The splint design process is automated and is available to clinicians through an online application.

Patient anthropometric data measured by clinicians are associated with variables of parametric 3D splint models. Once these variables are input by clinicians in the online app, customized stereo lithography (STL) files for both splint and half mold, in the case of the bi-material splint, are automatically generated and become available for download. Bi-materials splints are produced by a hybrid manufacturing process involving 3D printing and overmolding.

This approach eliminates the need for 3D CAD-proficient clinicians, allows fast generation of customized splints, generates two-dimensional (2D) drawings of splints for verifying shape and dimensions before 3D printing and generates the STL files. Automation reduces splint design time and cost, while manufacturing time is diminished by 3D printing the splint in a flat position.

The app could be used in clinical practice. It meets the demands of mass customization using 3D printing in a field where individualization is mandatory. The solution is scalable – it can be extended to other splint designs or to other limbs. 3D-printed tailored splints can offer improved wearing comfort and aesthetic appearance, while maintaining hand immobilization, allowing visually controlled follow-up for edema and rapidly observing the need for revision if necessary.

An online application was developed for uploading patient measurements and downloading 2D drawings and STL files of customized splints. Different models of splints can be designed and included in the database as alternative variants. A method for producing bi-materials flat splints combining soft and rigid polymers represents another novelty of the research.

This study examined the reciprocal influence of demand learning and preference matching in the context of store brand customization. The demand-learning effect refers to the collection of market demand information through production, based on pre-order demands, enabling retailers to accurately predict and allocate product quantities, thus improving inventory management. The preference-matching effect involves engaging consumers in the production and design processes of store brands to align fully with their preferences, thereby increasing the purchase impact of store brand products and promoting consumption.

We employ game-theoretic models to analyze a two-echelon supply chain consisting of a manufacturer and a retailer. The retailer offers both national brands, manufactured by the supplier and in-house store brands. To enhance their competitive edge, the retailer can adopt a customized strategy targeting the store brand to attract a wider consumer base.

The analysis reveals that, under low commission fees, the manufacturer consistently opts for high production quantities, irrespective of the level of demand uncertainty. However, when the perceived value of a store brand is low and demand uncertainty is either low or high, the retailer should choose a minimal or zero production quantity. The decision-making process is influenced by the customization process, wherein the effects of demand learning and preference matching occasionally mutually reinforce each other. Specifically, when the perceived value of a store brand is low, or the product cost is high, along with high customization costs, the interplay between demand learning and preference matching becomes mutually inhibiting. Consequently, the significance of store brand customization diminishes.

This study enhances the current body of knowledge by providing a deeper understanding of the theoretical value of store brand customization. In addition, it offers valuable decision-making support to enterprises by assisting them in selecting appropriate inventory and customization strategies.

This study aims to explore how manufacturing firms master customer lock-in through value creation by servitization innovation strategies from the perspective of asset specificity.

A multiple case study with triangulation fashion is adopted to identify servitization innovation strategies. Several manufacturing firms were investigated, which are distributed in different positions of the value chain. Content analysis and abductive approaches are adopted to analyze the data. Moreover, an in-depth interview and participatory observation were conducted to refine the analysis results.

This study identified four different focusing points of servitization operations. Based on these, the paper further induces an innovative servitization strategy matrix of customer lock-in, concerning communion, intellectual, existential and insubstantial strategies. Furthermore, a conceptual model of customer lock-in by servitization innovation from the perspective of asset specificity is elaborated. It is suggested that companies can use tangible or intangible resources by sharing or storing operations to create servitization value.

This study theoretically proposes a conceptual model to extend servitization innovation as an intangible asset and adopt the new perspective of asset specificity to illustrate the value creation in servitization to generate customer lock-in.

This paper seeks to elaborate on the drivers underpinning the rise of the Platform Model in customized executive learning and to explain the guiding philosophy underpinning this model.

The study followed directives for case‐based research, and was based on multiple sources of evidence: extant literature, archival data, industry publications, interviews and direct observation. Common issues were identified and used to build theory and make the concepts generic enough to be communicated to executive education professionals. Findings were shared and validated with professionals, and with managers within the human resource and organizational development departments of corporate firms.

The emergence of the Platform Model for executive education has been driven by four key developments –an explosion in the number of intellectual free agents who work outside or beyond the permeable organizational boundaries of academic institutions; the increasing recognition of open collaboration as an engine of customization and innovation; the pervasive spread of information and communication technologies that are enabling virtual teams to deliver integrated educational offerings; and the demand of clients that educational offerings should deliver outcomes by matching intellectual resources with their needs, and not vice versa.

The paper describes a recent trend in the ongoing evolution of approaches towards the design and delivery of executive learning. The Platform Model for executive learning is based on the existence of what has become a two‐sided network, entailing a triangular set of market relationships. On one side of this network are the individuals and firms that possess specialist skills and expertise, and on the other side are organizational clients seeking learning solutions. The need for these two groups – the network's “sides” – to interact with each other efficiently has created the opportunity for the emergence of Platform Intermediaries.

The purpose of this study is to develop a customised model to measure the performance of housekeeping (HK) services in Sri Lankan health-care facilities.

An exploratory sequential mixed approach was adopted in the study to collect and analyse data. A case study strategy was adopted in the initial phase to explore the current HK practices, and to determine the applicable key performance indicators (KPIs) found through literature. Semi-structured interviews were used as the data collection method in the selected case studies. A questionnaire survey was conducted in the next phase to verify the validity of case study findings. Quantitative data were analysed using descriptive statistics. One sample t-test was used to identify significant KPIs and to formulate the customised performance measurement (PM) model.

The study identified and ranked 46 KPIs, which can be used to measure the performance of HK divisions of health-care facilities, in balanced scorecard perspectives. The findings also revealed that the KPIs determined using the model have a significant impact on implementing effective health-care HK services and could be used to measure both real and subjective cleanliness.

The developed model can be used for numerous PM requirements in health-care setups in both developing and developed countries. The KPIs determined using this model can be presented in quality audits and government inspections as proof of effective HK management. The HK managers of the health-care sector can effectively monitor the performance of their divisions using the proposed PM model and this model can be customised to match the other facilities management service divisions.

Many studies focus on overall health-care PM. This study expands the knowledge on HK PM in the health-care sector by presenting a collection of performance indicators centred on HK function.