Designing and Simulation Assessment of a Chair Attachment Air Blowing Methods to Enhance the Safety of Prolonged Sitting.

Musculoskeletal disorders and the stagnation of sitting are among the side effects of excessive sitting in awkward sitting positions. In this study, a developed chair attachment cushion design with an optimal air blowing technique is proposed to eliminate the negative side effects of prolonged sitting. Instantaneously reducing the contact area between the chair and its occupant is the fundamental goal of the proposed design. The fuzzy multi-criteria decision-making approaches represented by FAHP and FTOPSIS were integrated to evaluate and select the optimal proposed design. An ergonomic and biomechanics assessment of the occupant's seating position while employing the novel safety cushion design was validated using simulation software (CATIA). Sensitivity analysis was also used to confirm the design's robustness. Results show that the manual blowing system using an accordion blower was the optimal design concept based on the selected evaluation criteria. In fact, the proposed design provides an acceptable RULA index value for the examined sitting postures and performed very safely in the biomechanics single action analysis.

Applications of MCDM approach (ANP-TOPSIS) to evaluate supply chain solutions in the context of COVID-19.

COVID-19 has impacted various aspects of life and business. The economic panic and effects caused by the pandemic have led to disruptions in most supply chains (SCs) worldwide. Our research aims to analyse the impact of COVID-19 on SCs and enable organisations to prioritise solutions based on their relative importance. The research consists of two main phases. Phase I analyses the impact of the pandemic on SCs in terms of challenges, concerns, steps, and solutions with the goal of SC resilience. The second phase proposes a merged Analytic Network Process-Technique for Order Preference by Similarity to Ideal Solution framework (ANP-TOPSIS) to prioritise the solutions that considers the complicated interrelationships between the factors involved in decision-making. The proposed model increases the efficiency of the decision-making process and helps decision makers effectively select solutions based on their importance and impact on business. The results indicate that SCs should continuously utilise technology to withstand future competition and crises.

A data set on anthropometric measurements and degree of discomfort of physically disabled workers for ergonomic requirements in work space design.

Workers movements and their body mechanics during work, design of tools as well as work layout is important to fit the task to match differences between human capabilities. The data set examined 40 physically disabled workers from different areas and background in Jordan. It consists of anthropometric measurements that are categorized into 7 key measures namely: weight, stature, hip height, knee height, elbow height, hand length and Elbow-fingertip length. Also, it includes information on the most parts that cause pain for the same participants using the discomfort questionnaire. The dataset supports the article " An integration of a QFD model with Fuzzy-ANP approach for determining the importance weights for engineering characteristics of the proposed wheelchair design"[1]. The obtained dataset can also be used to support an ergonomic and bio-mechanical evaluation performance of physically disabled workers as well as using it in conjunction with ISO standards for equipment design and safety. Moreover, This dataset is useful for optimizing the dimensions' design for the physically disabled workplace as well as preparing the House of Quality to prioritize the final design requirements.