Engineering Commons^™

Employee Engagement And Job Satisfaction’S Impact On Productivity In The Distribution Industry, Jessica Copeland

Walden Dissertations and Doctoral Studies

Productivity deficiencies in distribution services are detrimental to profitability, annually causing billions of dollars in reporting losses industry-wide. Understanding employees’ motivating factors in meeting metric-based expectations is essential to enhancing overall performance. Grounded in the motivation-hygiene theory, the purpose of this correlational study was to examine the relationships among employee engagement, job satisfaction, and productivity within the distribution industry. Electronic survey data were analyzed for 47 participants who completed the Mensah Employee Engagement Survey, Mensah Job Satisfaction Survey, and Utrecht Work Employee Engagement Survey. The results of the multiple linear regression were significant, F(2, 44) = 36.84, p = .001, …

An Adaptive Large Neighborhood Search Heuristic For The Inventory Routing Problem With Time Windows, Mina Hadianniasar

Graduate Theses and Dissertations

This research addresses an integrated distribution and inventory control problem which is faced by a large retail chain in the United States. In their current distribution network, a direct shipping policy is used to keep stores stocked with products. The shipping policy specifies that a dedicated trailer should be sent from the warehouse to a store when the trailer is full or after five business days, whichever comes first. Stores can only receive deliveries during a window of time (6 am to 6 pm). The retail chain is seeking more efficient alternatives to this policy, as measured by total transportation, …

An Investigation Into The Analysis Of Truncated Standard Normal Distributions Using Heuristic Techniques, John Walter Ralls

Engineering Management & Systems Engineering Theses & Dissertations

Standard normal distributions (SND) and truncated standard normal distributions (TSND) have been widely used and accepted methods to characterize the data sets in various engineering disciplines, financial industries, medical fields, management, and other mathematic and scientific applications. For engineering managers, risk managers and quality practitioners, the use of the standard normal distribution and truncated standard normal distribution have particular relevance when bounding data sets, evaluating manufacturing and assembly tolerances, and identifying measures of quality. In particular, truncated standard normal distributions are used in areas such as component assemblies to bound upper and lower process specification limits.

This dissertation presents a …