The Experts below are selected from a list of 147 Experts worldwide ranked by ideXlab platform
Catherine Hakim - One of the best experts on this subject based on the ideXlab platform.
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between equalization and marginalization women working part time in europe and the united states of america
Social Forces, 1999Co-Authors: Hanspeter Blossfeld, Catherine HakimAbstract:1. Introduction: A Comparative Perspective on Part-Time Work 2. A Sociological Perspective on Part-Time Work 3. Part-Time Work in Central and Eastern European Countries 4. Full and Part-Time Employment of Women in Greece: Trends and Relationships with Life-Cycle Events 5. Part-Time Work in Italy 6. The Family Cycle and the Growth of Part-Time Female Employment in France: Boon or Doom? 7. Part-Time Work in West-Germany 8. Female Labour Market Participation in the Netherlands: Developments in the Relationship between Family Cycle and Employment 9. Part-Time Work Among British Women 10. Women's Employment and Part-Time Work in Denmark 11. Managing Work and Children: Part-Time Work and the Family Cycle of Swedish Women 12. Part-Time Work in the United States of America 13. Women's Part-Time Employment and the Family Cycle: A Cross-National Comparison
Hanspeter Blossfeld - One of the best experts on this subject based on the ideXlab platform.
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between equalization and marginalization women working part time in europe and the united states of america
Social Forces, 1999Co-Authors: Hanspeter Blossfeld, Catherine HakimAbstract:1. Introduction: A Comparative Perspective on Part-Time Work 2. A Sociological Perspective on Part-Time Work 3. Part-Time Work in Central and Eastern European Countries 4. Full and Part-Time Employment of Women in Greece: Trends and Relationships with Life-Cycle Events 5. Part-Time Work in Italy 6. The Family Cycle and the Growth of Part-Time Female Employment in France: Boon or Doom? 7. Part-Time Work in West-Germany 8. Female Labour Market Participation in the Netherlands: Developments in the Relationship between Family Cycle and Employment 9. Part-Time Work Among British Women 10. Women's Employment and Part-Time Work in Denmark 11. Managing Work and Children: Part-Time Work and the Family Cycle of Swedish Women 12. Part-Time Work in the United States of America 13. Women's Part-Time Employment and the Family Cycle: A Cross-National Comparison
Diane Austin - One of the best experts on this subject based on the ideXlab platform.
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Community-Based Collaborative Team Ethnography: A Community-University-Agency Partnership
Human Organization, 2003Co-Authors: Diane AustinAbstract:This paper describes an approach for building relationships and achieving effective community-university-agency collaboration that was developed to provide information about the issues faced by individuals and families involved in the exploration and production of oil and gas on the outer continental shelf in the Gulf of Mexico. Two university-affiliated ethnographers and a group of local schoolteachers followed the activities of selected workers and their families, tracked local social and economic trends, and identified and talked with workers and families with many different characteristics (e.g., job, age, stage in the Family Cycle, ethnicity). They were assisted by additional university researchers who spent from two to four weeks at a time in the study communities talking with civic leaders and business and industry representatives, helping to identify and talk with workers and families, conducting focus groups, and facilitating study group meetings for team members. The paper describes the evolutio...
Pornthipa Ongkunaruk - One of the best experts on this subject based on the ideXlab platform.
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A joint replenishment problem considering multiple trucks with shipment and resource constraints
Computers & Operations Research, 2016Co-Authors: Y. Chen, M. I. M. Wahab, Pornthipa OngkunarukAbstract:A joint replenishment problem (JRP) is presented to determine the optimal reordering policy for multi-items with a percentage of defective items. This JRP also has several constraints, such as shipment constraint, budget constraint, and transportation capacity constraint. At the meantime, multiple trucks, each with a fixed transportation cost, are considered and also order quantities of restricted items are not shared among the trucks during the shipment. The objective is to minimize the total expected cost per unit time. A two-dimensional genetic algorithm (GA) is provided to determine an optimal Family Cycle length and the reorder frequencies. A numerical example is presented and the results are discussed. Extensive computational experiments are performed to test the performance of the GA. The JRP is also solved by using an evolutionary algorithm (EA) and the results obtained from GA and EA are compared. HighlightsA joint replacement problem (JRP) is solved considering multiple trucks.JRP also includes shipment, budget, and transportation capacity constraints.The JRP is solved by a genetic algorithm (GA) and an evolutionary algorithm (EA).GA outperforms EA in terms of computational time and the total expected cost.
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A genetic algorithm for a joint replenishment problem with resource and shipment constraints and defective items
International Journal of Production Economics, 2016Co-Authors: Pornthipa Ongkunaruk, M. I. M. Wahab, Y. ChenAbstract:A joint replenishment problem (JRP) is presented to determine the optimal reordering policy for multiple items with defective quantity and several restrictions such as shipment constraint, budget constraint, and transportation capacity constraint. The objective is to minimize the total expected cost per unit time. A two-dimensional genetic algorithm (GA) is provided to determine an optimal Family Cycle length and the reorder frequencies. A numerical example is presented and the results are discussed including the effect of defective items on the ordering policy. Extensive computational experiments are performed to test the performance of the GA. The JRP was also solved by a differential evolution (DE) algorithm and the results obtained from DE were compared with those obtained from GA.
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Joint replenishment with imperfect items and price discount
Computers & Industrial Engineering, 2014Co-Authors: S. Paul, M. I. M. Wahab, Pornthipa OngkunarukAbstract:A joint replenishment problem is presented to determine the ordering policy for multiple items having a certain percentage of defective units. The purpose of this paper is to study the impact of the percentage of defective units on the ordering policy. Two different scenarios are presented for joint replenishment problem: (1) without price discount and (2) with price discount. For each scenario, the total expected cost per unit time is derived and algorithms are presented to determine the Family Cycle length and the integer number of intervals that the replenishment quantity of each item will last. Numerical examples are presented and the results are discussed.
Y. Chen - One of the best experts on this subject based on the ideXlab platform.
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A genetic algorithm for a joint replenishment problem with resource and shipment constraints and defective items
International Journal of Production Economics, 2016Co-Authors: Pornthipa Ongkunaruk, M. I. M. Wahab, Y. ChenAbstract:A joint replenishment problem (JRP) is presented to determine the optimal reordering policy for multiple items with defective quantity and several restrictions such as shipment constraint, budget constraint, and transportation capacity constraint. The objective is to minimize the total expected cost per unit time. A two-dimensional genetic algorithm (GA) is provided to determine an optimal Family Cycle length and the reorder frequencies. A numerical example is presented and the results are discussed including the effect of defective items on the ordering policy. Extensive computational experiments are performed to test the performance of the GA. The JRP was also solved by a differential evolution (DE) algorithm and the results obtained from DE were compared with those obtained from GA.
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A joint replenishment problem considering multiple trucks with shipment and resource constraints
Computers & Operations Research, 2016Co-Authors: Y. Chen, M. I. M. Wahab, Pornthipa OngkunarukAbstract:A joint replenishment problem (JRP) is presented to determine the optimal reordering policy for multi-items with a percentage of defective items. This JRP also has several constraints, such as shipment constraint, budget constraint, and transportation capacity constraint. At the meantime, multiple trucks, each with a fixed transportation cost, are considered and also order quantities of restricted items are not shared among the trucks during the shipment. The objective is to minimize the total expected cost per unit time. A two-dimensional genetic algorithm (GA) is provided to determine an optimal Family Cycle length and the reorder frequencies. A numerical example is presented and the results are discussed. Extensive computational experiments are performed to test the performance of the GA. The JRP is also solved by using an evolutionary algorithm (EA) and the results obtained from GA and EA are compared. HighlightsA joint replacement problem (JRP) is solved considering multiple trucks.JRP also includes shipment, budget, and transportation capacity constraints.The JRP is solved by a genetic algorithm (GA) and an evolutionary algorithm (EA).GA outperforms EA in terms of computational time and the total expected cost.
