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Development of Productitive Enhancement Framework for Private Sector Autom Otive Manufacturing Industry of Pakistan

Thesis Info

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Author

Sarwar, Sheikh Zahoor

Program

PhD

Institute

University of Engineering and Technology

City

Taxila

Province

Punjab

Country

Pakistan

Thesis Completing Year

2015

Thesis Completion Status

Completed

Subject

Engineering Management

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/13983/1/Sheikh%20Zahoor%20Sarwar%20PHD%20Thesis.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727736100

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Organizational productivity is one of the basic tools to gauge its competitiveness. Research has proven that methodologies for gauging productivity are lacking in industries globally, and mostly non-standard tools are used to measure and evaluate productivity. In Pakistan specifically, not enough efforts have been put in place to gauge and enhance the productivity of manufacturing industry. This research is focused on identifying the prevalent status of productivity in automotive industry of Pakistan and then suggesting a productivity enhancement framework. This mixed methodology research has been conducted using both qualitative and quantitative methods. Sequential explanatory design in combination with sequential exploratory design was used as suggested by Creswell [106]. Quantitative research was conducted by carrying out productivity analysis of the industry using secondary data from sample companies. Authentic government sources, such as Engineering Development Board and two national level associations i.e. Pakistan Automotive Manufacturers Association (PAMA) and Pakistan Association of Automotive Parts and Accessories Manufacturers of Pakistan (PAAPAM) were consulted for data collection. Secondary data for ten years covering FY 2000-2010 for two major automotive manufacturing firms was gathered. Total Productivity and all partial productivities were computed using methodology proposed by Sumanth [4], while Total Factor Productivity (TFP) was computed using Cobb-Douglas production function. Results gathered showed low productivity status of the industry as compared to that of international industry. In order to develop a productivity enhancement framework, qualitative research was conducted by collecting primary data through qualitative interviews from top management of 26 automotive manufacturing companies. A total of 40 interviews were conducted on the basis of theoretical saturation and theoretical sampling. Open ended questions used for survey were compiled from the internationally published literature for validity and reliability requirements. Using explanatory and descriptive study, role of technology in productivity enhancement of the industry was examined. Findings of this research have been used to develop a productivity enhancement framework for the industry. Developed framework was compared with the framework of 6 different countries, including USA, UK, Sweden, India, China and Thailand [33], [36], [37], [44], [45]. Comparison resulted in emergence of the finalized productivity enhancement framework of the industry. This framework was then implemented in one of the major auto parts manufacturing companies of Pakistan for its validation. Results of the implementation not only validated the model but also depicted that there is an immediate need to implement these concepts for productivity enhancement. The cost- effective solutions suggested in this model and its cross cultural comparisons also show that this model can be used for manufacturing industries in general in the developing countries.
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سی حرفی : ۸

سی حرفی ۔۸
(تن بیتاں وچ مکمل)
الف
آماہی، ’ب‘ بہت تھکی، ت تاہنگ تیری پئی مار دی اے
ث
ثابتی نہیں، ’ج‘ جگر باہجوں، ’ح‘ حالت گئی گھر بار دی اے
خ
خوشی گئی، ’د‘ دکھ بہتے، ’ذ‘ ذکر تے فکر سب یار دی اے
ر
رب وارث، ’ز‘ زاریاں دا، ’س‘ سک حنیف دیدار دی اے

ش
شوق لگا، ’ص‘ صادقاں دا، ’ض‘ ضعف نہیں کجھ نتار دا اے
ط
طوق پیا، ’ظ‘ ظالماں دا، ’ع‘ عاشقاں ہانگرا دار دا اے
غ
غم لگا، ’ف‘ فکر ڈاہڈا، ’ق‘ قسم مینوں شوق یار دا اے
ک
کون کٹے، ’ل‘ لکھ دتا،’م‘ مویاں نوں یار کیوں مار دا اے

ن
نیہہ ڈونگھی، چڑھی گھٹ کالی، اساں لنگھنا پہلڑے پور یارو
و
واہ کوئی نہیں، ہور راہ کوئی نہیں، ’ہ‘ ہڑ دا سماں ضرور یارو
لا
لا مکان دا پتہ دسے، ’ی‘ یاد نہ مان غرور یارو
ے
یار حنیف بھلائی دنیا، کیڈ پائے نیں عشق فتور یارو
سی حرفی۔۹
(ہک بیت وچ اٹھ حرف)
الف
الٰہی، میل ماہی نوں، ’ب‘ برے دن آئے نیں
ت
تلوار برہوں دی لٹکے، ’ث‘ ثواب کمائے نیں
ج
جوانی آخر فانی، ’ح‘حائل غم آئے نیں
خ
خوف حنیف وچھوڑے اندر، ’د‘ دکھاں دے سائے نیں

ذ
ذکر تیرے وچ رہندی، ’ر‘ رخ ویکھاں ماہی دا
ز
زیارت لکھ ثواباں، ’س‘ سوہنا چن چاہی دا
ش
شوخاں دے ناز نہورے، ’ص‘ صفا دل چاہی دا
ض
ضدی سنگ دل حنیف اے، مان حسن دی شاہی دا

ط
طواف کریں دن راتیں، ’ظ‘ ظالم کوئی خبر نہیوں
ع
عشق دے کٹھے عاشق، ’غ‘ غصہ تے جبر نہیوں
ف
فائدہ کی شکویاں سندا، ’ق‘ قسمت وچ اجر نہیوں
ک
کتھے چھڈ گیوں ماہی، کجھ حنیف نوں صبر نہیوں

ل

كفايات قيادة التغيير اللازمة لمٌديري مدارس محافظة شمال الشرقية بسلطنة عُمان في ضوء النموذج السلوفيني (Slovenian Model)

هدفت الدراسة الحالية إلى التعرف على كفايات قيادة التغيير اللازمة لمٌديري مدارس محافظة شمال الشرقية بسلطنة عُمان في ضوء النموذج السلوفيني (Slovenian Model)، واتبعت الدراسة المنهج الوصفي، كما استخدمت الاستبانة في جمع البيانات والمعلومات وتم تطبيقها على عينة مكونة من (72) مُديراً ومُديرة. وتوصلت نتائج الدراسة إلى أن كفايات قيادة التغيير اللازمة لمٌديري مدارس محافظة شمال الشرقية بسلطنة عُمان في ضوء النموذج السلوفيني (Slovenian Model) جاءت بدرجة عالية بصورة إجمالية، كما جاءت أيضاً بدرجة عالية في جميع المجالات وهي:: الكفايات الإدراكية، والكفايات الوظيفية، والكفايات الشخصية والاجتماعية . كما كشفت النتائج عن عدم وجود فروق ذات دلالة إحصائية في استجابات أفراد عينة الدراسة عند مستوى (α ≤ 0.05) تُعزى إلى متغير سنوات الخبرة، ولكن وجدت هذه الفروق في متغير الجنس ولصالح الإناث، والمؤهل العلمي ولصالح حملة البكالوريوس.

Phylogenetic Study for the Investigation and Analysis of Uncultured Soil Microbial Diversity of Pakistani Hospital?S Dumping Sites Using Sequence-Based Metagenomic Approach

Hospitals play a vital role in health and well being of humans. However the biomedical waste generated by hospitals pose a serious threat to public health and environment due to their high potential of disease transmission through spread of pathogenic bacterial strains from hospitals dumpsites by any mode of contact. Therefore methods for the analysis of microbial diversity in the environmental samples surrounding the hospitals? dumpsites are required for better understanding of Hospitals Acquired Infections (HAI) transmission. Metagenomics provides solution to this problem through availability of methods that allows the isolation of those microbial DNA from environment that cannot be cultured and hence their role has never been studied in transmission of HAIs. This research study is objected to the investigation of microbial diversity present in the soil surrounding the dumpsites of hospitals in order to construct a profile of bacterial communities present in natural environment of hospitals that may potentially be involved in transmission of HAIs. In this research study the microbial diversity of soil samples taken from 10 different hospital?s waste dumpsites was examined. Direct DNA extraction is performed by using Metagenomic approach with the objective of isolation of not only cultured but un-cultured bacterial communities as well. PCR was carried out for all samples for detection of 16S rRNA gene. Amplified DNA is directed to 16S rRNA gene sequencing. After sequencing the Phylogenetic analysis is performed through Phylogenetic tree rendering for the analysis of evolutionary relatedness of extracted bacterial sequences among themselves and with their possible closest species. The results of this research study have provided with the profile of bacterial species present in the soils surrounding the hospitals? dumping sites and also their evolutionary relatedness with other bacterial species. The results provided by this study have promising contribution in investigation of microbial communities present in hospitals environments and their potential involvement in transmission of HAIs suggests the need of strategies and protocols for proper disposal of biomedical wastes generated by hospitals.