Chandan Deep Singh

Projektowanie w odlewnictwie ciśnieniowym jest kluczowym etapem produkcji form. Ponadto, takie czynności jak projektowanie wnęk, rozmieszczenie wnęk i projektowanie systemu wlew w są niezbędne przy projektowaniu formy odlewniczej. Projektowanie systemu wlew w do formy odlewniczej zależy od r żnych parametr w, na kt re wplyw ma projekt części, maszyna odlewnicza i stop odlewniczy. Projektowanie systemu wlewowego wymaga wielu ręcznych wprowadzeń i wielu iteracji, aby sfinalizowac projekt. Wymaga to dobrej znajomości procesu odlewania ciśnieniowego, co sprawia, że czynnośc ta jest calkowicie zależna od użytkownika. W dzisiejszym przemyśle wiele narzędzi CAD/CAM jest stosowanych do projektowania, rozwoju i produkcji form odlewniczych. Jednak potrzeba udzialu eksperta w zakresie odlewania ciśnieniowego podczas calego procesu projektowania i produkcji formy odlewniczej sprawia, że jest to dośc dlugotrwaly proces. Projektowanie systemu wlewowego, będące jednym z gl wnych zadań przy projektowaniu form, r wnież zajmuje dużo czasu. Dlatego też opracowanie systemu do automatycznego generowania systemu wlewowego byloby bardzo korzystne. Proponowany system wykorzystuje plik CAD części odlewanej jako dane wejściowe i wykorzystuje wiedzę na temat procesu odlewania ciśnieniowego, maszyn i stop w do określenia r żnych parametr w systemu wlewowego.

In today's global scenario, the primary goal of manufacturing organizations is to be successful by gaining large profit and to achieve a gain in the market share. So, organizations must find new cost-effective methods and practices to meet the market needs on time. As a response to this, many organizations are adopting continuous improvement programs and techniques like Green Manufacturing (GM), Six Sigma, Lean and Lean Six Sigma (LSS) in their business processes to stay competitive in the global market. At this time, the manufacturing sector, which is so vital for economic growth of India, is experiencing critical Capacity Utilization (CU) level. This has led to increase in costs, locking up resources and reduction in profitability for manufacturers. In the quest for better operational performance and increase capacity utilization level, Manufacturing sector must incorporate GM as a strategy for business improvement.

In today's global scenario, the primary goal of manufacturing organizations is to be successful by gaining large profit and to achieve a gain in the market share. So, organizations must find new cost-effective methods and practices to meet the market needs on time. As a response to this, many organizations are adopting continuous improvement programs and techniques like Green Manufacturing (GM), Six Sigma, Lean and Lean Six Sigma (LSS) in their business processes to stay competitive in the global market. At this time, the manufacturing sector, which is so vital for economic growth of India, is experiencing critical Capacity Utilization (CU) level. This has led to increase in costs, locking up resources and reduction in profitability for manufacturers. In the quest for better operational performance and increase capacity utilization level, Manufacturing sector must incorporate GM as a strategy for business improvement.

Modern manufacturing techniques like rotary-ultrasonic machining are typically used to process materials with high hardness or brittleness, such glass, quartz, ceramics semiconductor material etc. Consequently, rotary-ultrasonic machining may offer an approach to solve the issue of polyvinyl butyral glass material's machinability. In contrast to thermal based machining methods, the machined surface produced by rotary-ultrasonic machining has been found to be free of any surface defects delamination, cracks and heat affected zone. In order to better understand the machining efficiency in rotary-ultrasonic drilling of polyvinyl butyral glass material, an attempt has been performed.

Sustainable Green Development, a refined concept that merges both green engineering and sustainable development, focuses on creating manufacturing systems that are not only economically viable but also ecologically responsible. This model advocates for the adoption of green technologies, circular economy principles, and eco-efficient supply chain management to create a manufacturing ecosystem that is sustainable across all stages of the product lifecycle-from raw material sourcing to end-of-life disposal. It promotes the shift toward renewable energy sources, sustainable product design, and green logistics, which collectively contribute to minimizing environmental impacts and fostering a more resilient manufacturing industry.

Manufacturing industry plays an important role in India by generating jobs and contributing towards economic stability by exporting various types of products and services. In last few years many industries came in to existence and some foreign firms shifted their base in the country. The entry of foreign giants in to its own domestic market increased the competition. Due to this competition companies try to contend with each other by providing better products and services to the customers. In this situation core functional competencies help companies in various forms to perform well and improve their competitiveness in the market.

Indian manufacturing sector is of paramount significance to the nation's prosperity and the large growth of economy. Companies nowadays are struggling to thrive and stay afloat because of the intense competition in the market. Customers now have a plethora of options from a wide range of rivals. In order to meet customer demands for faster and higher-quality goods, businesses are actively seeking out and implementing innovative technological solution. Here, technology competencies help companies in a variety of ways, allowing them to function better and become more competitive.

Various Multiple Criteria Decision-Making (MCDM) techniques in one book: 13 MCDM techniques have been applied, namely, WSM, WPM, WASPAS, GRA, SMART, CRITIC, ENTROPY, EDAS, MOORA, AHP, TOPSIS, VIKOR, and new tools: MDEMATEL, Fuzzy MDEMATEL, Modified Fuzzy TOPSIS and Modified Fuzzy VIKOR. To date, no other book possesses this many tools. Various quantitative techniques: Different quantitative techniques have been applied, namely, Cronbach alpha, Chi-square and ANOVA (for demographic analysis), Percent Point Score and Central Tendency (response analysis), Factor Analysis, Correlation and Regression. To date, no other book possesses this many tools. Interpretive Structural Modelling: ISM has been applied for verifying MCDM results through MICMAC analysis and ISM model thus paving the way for model through SEM. Structural Equation Modelling: SEM using AMOS in PASW has been applied for model development. New MCDM techniques developed: In the process during qualitative analysis, new tools have been developed and their results have been compared with other existing MCDM tools and the results are encouraging. The new techniques are MDEMATEL, Fuzzy MDEMATEL, Modified Fuzzy TOPSIS and Modified Fuzzy VIKOR. Qualitative Model Developed: As the title says, Sustainable Green Development and Manufacturing Performance through Modern Production Techniques. It is a need-of-the-hour topic, as industries must maintain their performance (sustainable development) and, while sustaining, they have to keep in mind green issues (that is, environment-related issues, especially during the COVID-19 pandemic) and adopt advanced manufacturing and maintenance techniques. A model for this has been developed which will be helpful to both academicians and industrialists. Real-time Case Studies: Case studies in two industries of differing origins, different manufacturing sectors, different products, and comparing their units in the country of their origin and India. Dr. Chandan Deep Singh is an assistant professor in the Department of Mechanical Engineering, Punjabi University, Patiala, Punjab (India). He is a co-author of Adolescents, Family and Consumer Behaviour (Routledge, 2020) and of Manufacturing Competency and Strategic Success in the Automobile Industry (CRC Press, 2019). Dr. Harleen Kaur is a manager (HR) at DELBREC Industries, Pvt. Ltd., Chandigarh. She co-authored Adolescents, Family and Consumer Behaviour (Routledge, 2020).

Produrre buona qualit e ridurre i costi l'elemento chiave di ogni impresa e azienda. Al giorno d'oggi molto difficile competere con le nostre imprese quando queste ultime si sottopongono a miglioramenti. Per ottenere buoni risultati, le aziende adottano processi di produzione snella. In questa relazione discutiamo di due tecniche: Six Sigma e SCM. Six Sigma stato introdotto nel 1986. SCM e Six Sigma cercano di migliorare gli standard di produzione identificando ed eliminando le cause dei difetti. In questo caso otteniamo dati da varie industrie e applichiamo il test di affidabilit e il test di Anova. In questa relazione abbiamo creato una matrice di correlazione di Karl Pearson, che mostra la relazione tra i fattori di input e di output con la qualit e la crescita. Alla fine, abbiamo concluso che Six Sigma e SCM hanno dato un contributo notevole, i dipendenti lavorano in modo pi cooperativo, il miglioramento della qualit del prodotto, il lavoro efficiente aiuta a raggiungere risultati positivi, la motivazione e il supporto del top management e del team leader influiscono sulle prestazioni.

Produire de la bonne qualit et r duire les co ts est l' l ment cl de toute entreprise et de toute soci t . De nos jours, il est tr s difficile de concurrencer nos entreprises lorsque celles-ci proc dent des am liorations. Afin d'obtenir de bons r sultats, ces entreprises adoptent des processus de production all g s. Dans ce rapport, nous abordons deux techniques: Six Sigma et SCM. Six Sigma a t introduit en 1986. SCM et Six Sigma cherchent am liorer la qualit de la production en identifiant et en liminant les causes des d fauts. Pour ce faire, nous obtenons des donn es de diverses industries et appliquons des tests de fiabilit et des tests Anova. Dans ce rapport, nous avons tabli une matrice de corr lation de Karl Pearson, qui montre la relation entre les facteurs d'entr e et de sortie, d'une part, et la qualit et la croissance, d'autre part. Au final, nous avons conclu que Six sigma et SCM ont apport une contribution notable, que les employ s travaillent de mani re plus coop rative, que la qualit des produits s'am liore, qu'un travail efficace permet d'obtenir des r sultats positifs, que la motivation et le soutien de la direction g n rale et du chef d' quipe influent sur les performances.

Gute Qualit t zu produzieren und die Kosten zu senken ist das Schl sselelement eines jeden Unternehmens und jeder Firma. Heutzutage ist es sehr schwierig, mit unseren Firmen zu konkurrieren, wenn das Unternehmen Verbesserungen vornimmt. Um gute Ergebnisse zu erzielen, f hren diese Unternehmen schlanke Fertigungsverfahren ein. In diesem Bericht diskutieren wir ber zwei Techniken: Six Sigma und SCM. Six Sigma wurde 1986 eingef hrt. SCM und Six Sigma zielen darauf ab, den Produktionsstandard zu verbessern, indem Fehlerursachen identifiziert und beseitigt werden. In diesem Projekt werden Daten aus verschiedenen Branchen gesammelt und Zuverl ssigkeitstests und Anova-Tests durchgef hrt. In diesem Bericht haben wir eine Karl-Pearson-Korrelationsmatrix erstellt, die die Beziehung zwischen Input- und Output-Faktoren mit der Qualit t und dem Wachstum zeigt. Am Ende kamen wir zu dem Schluss, dass Six Sigma und SCM einen sp rbaren Beitrag leisten, dass die Mitarbeiter kooperativer arbeiten, dass die Qualit t der Produkte verbessert wird, dass effizientes Arbeiten dazu beitr gt, positive Ergebnisse zu erzielen, und dass Motivation und Unterst tzung durch das Topmanagement und den Teamleiter die Leistung beeinflussen.

Produzir com boa qualidade e reduzir os custos o elemento-chave de qualquer empresa. Atualmente, muito dif cil competir com as nossas empresas quando estas passam por melhorias. Por isso, estas empresas adoptam um processo de produ o optimizado. Neste relat rio, debatemos duas t cnicas: Six Sigma e SCM. O Seis Sigma foi introduzido em 1986. A SCM e a Six Sigma procuram melhorar o n vel de produ o atrav s da identifica o e elimina o das causas dos defeitos. Neste caso, obtemos dados de v rias ind strias e aplicamos o teste de fiabilidade e o teste Anova. Neste relat rio, elabor mos a matriz de correla o de Karl Pearson, que mostra a rela o entre os factores de entrada e sa da com a qualidade e o crescimento. No final, conclu mos que o Six Sigma e o SCM deram um contributo not vel, que os empregados trabalham de forma mais cooperativa, que a qualidade do produto melhora, que o trabalho eficiente ajuda a obter resultados positivos, que a motiva o e o apoio da gest o de topo e do chefe de equipa afectam o desempenho.