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The resin transfer molding process for composites manufacturing consists of either of two considerations, namely, the fluid flow analysis through a porous fiber preform where the location of the flow front is of fundamental importance, and the combined flow/heat transfer/cure analysis. In this paper, the continuous sensitivity formulations are developed for the process modeling of composites manufactured by RTM to predict, analyze, and optimize the manufacturing process. Attention is focused here on developments for isothermal flow simulations, and various illustrative examples are presented for sensitivity analysis of practical applications which help serve as a design tool in the process modeling stages.

Business Process Reengineering (BPR) eliminates non-value-added (NVA) and essential non-value-added (ENVA) waste through radical process redesign to improve organizational operations. Comprehensive research integrating BPR tools is needed to understand their benefits for manufacturing firms. This research presents an integrated BPR-simulation framework tailored to the manufacturing sector to maximize process improvements and operational excellence.

The BPR design methodology adopts a systematic, multi-stage approach. The first phase involves identifying a specific improvement process aligned with BPR's core objectives. This phase analyses and redesigns workflows to optimize task sequences, roles, and stakeholder interactions while eliminating redundancies and inefficiencies via Workflow Process Reengineering. Visual process mapping tools, including VSM and simulation, pinpoint areas of waste, delay, and potential enhancement. The second phase follows the workflow analysis and aims to improve efficiency and effectiveness by redefining roles, rearranging tasks, and integrating automation and technology solutions. The redesigned process undergoes evaluation against key performance indicators to ensure measurable improvements are achieved. The final phase validates the proposed changes through simulation models, assesses the impact on key performance metrics, and establishes the necessary infrastructure for successful implementation. The proposed model is empirically validated through a case study of a leading apparel company in Vietnam, confirming its effectiveness.

The findings reveal that NVA activities are being eliminated, and ENVA activities in key departments are significantly reduced. This yielded a substantial improvement, reducing 25 out of 186 combined ENVA and NVA operations in the sewing facility, involving a decrease of 15 ENVA operations and the removal of 10 NVA operations. Consequently, this led to an 8.5% reduction in the proportion of ENVA operations, accompanied by a complete 100% elimination of NVA activities.

The single case study limits generalizability; thus, expanded implementation across diverse manufacturing sub-sectors is required to establish validity and broader applicability of the integrated framework.

The experimental results highlight the proposed model's effectiveness in optimizing resource utilization and its practical implementation potential. This structured BPR methodology enables organizations to validate, evaluate, and establish proposed process changes to enhance operational performance and productivity.

The simulation of heat conduction inside a heterogeneous material with multiple spatial scales would require extremely fine and ill-conditioned meshes and, therefore, the success of such a numerical implementation would be very unlikely. This is the main reason why this paper aims to calculate an effective thermal conductivity for a multi-scale heterogeneous medium.

The methodology integrates the theory of reiterated homogenization with the finite element method, leading to a renewed calculation algorithm.

The effective thermal conductivity gain of the considered three-scale array relative to the two-scale array has been evaluated for several different values of the global volume fraction. For gains strictly above unity, the results indicate that there is an optimal local volume fraction for a maximum heat conduction gain.

The present approach is formally applicable within the asymptotic limits required by the theory of reiterated homogenization.

It is expected that the present analytical-numerical methodology will be a useful tool to aid interpretation of the gain in effective thermal conductivity experimentally observed with some classes of heterogeneous multi-scale media.

The novel aspect of this paper is the application of the integrated algorithm to calculate numerical bulk effective thermal conductivity values for multi-scale heterogeneous media.

Operating procedure synthesis (OPS) has been used to generate plant operating procedures for chemical plants. However, the application of AI planning to this domain has been rarely considered, and when it has the scope of the system used has limited it to solving “toy” problems. This paper describes the application of state‐of‐the‐art AI planning techniques to the generation of operating procedures for chemical plant as part of the INT‐OP project at the Universities of Salford and Loughborough. The CEP planner is outlined and its application to a double effect evaporator test rig is discussed in detail. Particular attention is paid to the issues involved in domain modelling, requiring the description of the domain, development of AI planning operators, the definition of safety restrictions, and the definition of the problem. There is then a presentation of the results, lessons learned and problems still remaining.

Grounded in lemon market theory, this paper aims to examine the influence of corporate governance (CG) on stock market liquidity in Bangladesh, where stock market manipulation because of speculative trading is a common concern.

This study is based on a sample of 2,420 firm-year observations covering all non-financial firms in Bangladesh from 1996 to 2011.

This study’s results show a significant relationship between governance and liquidity within firms over time. In particular, within firms, when governance quality increases, liquidity significantly improves. For instance, a rise in the governance quality by one standard deviation decreases the illiquidity ratio by 55.97%. The results are unlikely to be confounded by endogeneity.

The results have important policy implications for security regulators, investors, traders and managers. The results support the current regulatory trend of strengthening CG practices in the listed firms in Bangladesh.

This study contributes to the understanding of the role of effective firm-level CG on stock liquidity in the context of an emerging country. Consistent with prior research mostly conducted in the advanced economies, it provides further empirical support that higher CG quality reduces the information asymmetry problem and enhances stock liquidity even in a speculative market.

This paper aims to present a geometrical void model in conjunction with a multiscale method to evaluate the effect of interraster distance, bead (raster) width and layer height, on the voids concentration (volume) and subsequently calculate the final mechanical properties of the fused deposition modeling parts at constant infill.

A geometric model of the voids inside the representative volume element (RVE) is combined with a two-scale asymptotic homogenization method. The RVEs are subjected to periodic boundary conditions solved by finite element (FE) to calculate the effective mechanical properties of the corresponding RVEs. The results are validated with literature and experiments.

Bead width from 0.2 to 0.3 mm, reported a decrease of 25% and 24% void volume for a constant layer height (0.1 and 0.2 mm – 75% infill). It is reported that the void’s volume increased up to 14%, 32% and 36% for 75%, 50% and 25% infill by varying layer height (0.1–0.2  and 0.3 mm), respectively. For elastic modulus, 14%, 9% and 10% increase is reported when the void’s volume is decreased from 0.3 to 0.1 mm at a constant 75% infill density. The bead width and layer height have an inverse effect on voids volume.

This work brings values: a multiscale-geometric model capable of predicting the voids controllability by varying interraster distance, layer height and bead width. The idealized RVE generation slicer software and Solidworks save time and cost (<10 min, $0). The proposed model can effectively compute the mechanical properties together with the voids analysis.

The purpose of this paper is to investigate the impact of market liberalization programs on firms' exchange‐rate exposure. We consider, in particular, the effects of the timing of the three liberalization events through which the government of Taiwan carried out explicit policies to gradually open its foreign exchange and stock markets. Although we cannot corroborate that most exporting firms are individually exposed to exchange‐rate risk, we cannot, however, reject that the exporting firms are jointly exposed to exchange‐rate risk in all sub‐periods. Furthermore, we find that Taiwanese exporting firms are greatly affected by timing of the three liberalization events.

This paper aims to present a hierarchical multiscale model to evaluate the effect of fused deposition modeling (FDM) process parameters on mechanical properties. Asymptotic homogenization mathematical theory is developed into two scales (micro and macro scales) to compute the effective elastic and shear modulus of the printed parts. Four parameters, namely, raster orientation, layer height, build orientation and porosity are studied.

The representative volume elements (RVEs) are generated by mimicking the microstructure of the printed parts. The RVEs subjected to periodic boundary conditions were solved using finite element. The experimental characterization according to ASTM D638 was conducted to validate the computational modeling results.

The computational model reports reduction (E1, ∼>38%) and (G12, ∼>50%) when porosity increased. The elastic modulus increases (1.31%–47.68%) increasing the orthotropic behavior in parts. Quasi-solids parts (100% infill) possess 10.71% voids. A reduction of 11.5% and 16.5% in elastic modulus with layer height is reported. In total, 45–450 oriented parts were highly orthotropic, and 0–00 parts were strongest. The order of parameters affecting the mechanical properties is porosity > layer height > raster orientation > build orientation.

This study adds value to the state-of-the-art terms of construction of RVEs using slicing software, discarding the necessity of image processing and study of porosity in FDM parts, reporting that the infill density is not the only measure of porosity in these parts.

The importance of supply chain alignment has been discussed since the birth of supply chain management (SCM). Yet it remains a major challenge for supply chains. This paper aims to systematically review the cross disciplinary literature on supply chain alignment in order to identify, and develop constructs for enablers to alignment, and an associated set of hypotheses.

A systematic approach has been taken to the literature review, which ensures it is auditable and repeatable. The selection criteria are clearly aligned with the review question ensuring all literature pertinent to the question is identified and reviewed. Relevant information is extracted from the selected papers and synthesised into a set of hypotheses.

Six main constructs for the enablers of alignment are identified and defined: organisational structure, internal relational behaviour, customer relational behaviour, top management support, information sharing and business performance measurement system. While the literature is disparate, across different disciplines there is good support for these enablers. The relationships between supply chain alignment and shareholder and customer value are also argued with the support of the literature. Although each of the enablers is argued to positively affect shareholder and customer value, their interactions with one another are not well supported in the literature, either theoretically or empirically, and therefore this could be an area for further research.

While the hypotheses remain theoretical, it is now possible to test them and understand the relative significance of the various enablers to alignment.

The significance of shareholder and customer alignment on the delivery of shareholder and customer value can be examined, thus moving towards a theory of supply chain alignment. This is needed since in practice companies are struggling with supply chain alignment.

The existing literature on supply chain alignment is disparate and multi‐disciplinary as this descriptive analysis shows, with 72 papers published in 43 different journals. Moreover, most of the papers focus on particular enablers, while this paper brings together six key enablers from the literature to produce a set of hypotheses.

The purpose of the present paper is to describe the modeling, analysis and simulations for the resin transfer molding (RTM), manufacturing process with particular emphasis on the sensitivity analysis for non‐isothermal applications.

For the manufacturing of advanced composites via RTM, besides the tracking of the resin flow fronts through a porous fiber perform, the heat transfer and the resin cure kinetics play an important role. The computational modeling is coupled multi‐disciplinary problem of flow‐thermal‐cure. The paper describes the so‐called continuous sensitivity formulation via the finite element method for this multi‐disciplinary problem for process modeling of composites manufactured by RTM to predict, analyze and optimize the manufacturing process.

Illustrative numerical examples are presented for two sample problems which include examination of sensitivity parameters for the case of material and geometric properties, and boundary conditions including fill time sensitivity analysis. The results indicate that the proposed formulations serve a useful role for the design and optimization of the RTM manufacturing process, thereby, avoiding heuristic trial‐and‐error methods.

The paper restricts attention to constant properties and extensions to non‐linear thermophysical properties will serve as an added benefit.

The present efforts significantly impact the design/optimization process in the process modeling of composites manufactured by RTM.

To the authors' knowledge, this is the first time that continuous sensitivity analysis is done for non‐isothermal considerations in RTM.