Ammar Olabi, Jean Hunter, Peter Jackson, Michele Segal, Rupert Spies, Carolyn Wang, Christina Lau, Christopher Ong, Conor Alexander, Evan Raskob, Jennifer Plichta, Ohad Zeira, Randy Rivera, Susan Wang, Bill Pottle, Calvin Leung, Carrie Vicens, Christine Tao, Craig Beers, Grace Fung, Jacob Levine, Jaeshin Yoo, Joanna Jackson, Kelly Saikkonen, Matthew Zimmerman, Megan Cunningham, Michele Crum, Naquan Ishman, Norman Voo, Raul Cadena, Robert Relinger, Saori Wada
{"title":"Work measurement for estimating food preparation time of a bioregenerative diet.","authors":"Ammar Olabi, Jean Hunter, Peter Jackson, Michele Segal, Rupert Spies, Carolyn Wang, Christina Lau, Christopher Ong, Conor Alexander, Evan Raskob, Jennifer Plichta, Ohad Zeira, Randy Rivera, Susan Wang, Bill Pottle, Calvin Leung, Carrie Vicens, Christine Tao, Craig Beers, Grace Fung, Jacob Levine, Jaeshin Yoo, Joanna Jackson, Kelly Saikkonen, Matthew Zimmerman, Megan Cunningham, Michele Crum, Naquan Ishman, Norman Voo, Raul Cadena, Robert Relinger, Saori Wada","doi":"10.3727/1542966034605252","DOIUrl":null,"url":null,"abstract":"<p><p>During space missions, such as the prospective Mars mission, crew labor time is a strictly limited resource. The diet for such a mission (based on crops grown in a bioregenerative life support system) will require astronauts to prepare their meals essentially from raw ingredients. Time spent on food processing and preparation is time lost for other purposes. Recipe design and diet planning for a space mission should therefore incorporate the time required to prepare the recipes as a critical factor. In this study, videotape analysis of an experienced chef was used to develop a database of recipe preparation time. The measurements were highly consistent among different measurement teams. Data analysis revealed a wide variation between the active times of different recipes, underscoring the need for optimization of diet planning. Potential uses of the database developed in this study are discussed and illustrated in this work.</p>","PeriodicalId":86963,"journal":{"name":"Habitation (Elmsford, N.Y.)","volume":"9 1-2","pages":"17-30"},"PeriodicalIF":0.0000,"publicationDate":"2003-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3727/1542966034605252","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Habitation (Elmsford, N.Y.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3727/1542966034605252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
During space missions, such as the prospective Mars mission, crew labor time is a strictly limited resource. The diet for such a mission (based on crops grown in a bioregenerative life support system) will require astronauts to prepare their meals essentially from raw ingredients. Time spent on food processing and preparation is time lost for other purposes. Recipe design and diet planning for a space mission should therefore incorporate the time required to prepare the recipes as a critical factor. In this study, videotape analysis of an experienced chef was used to develop a database of recipe preparation time. The measurements were highly consistent among different measurement teams. Data analysis revealed a wide variation between the active times of different recipes, underscoring the need for optimization of diet planning. Potential uses of the database developed in this study are discussed and illustrated in this work.