Lot-sizing for a product recovery system with quality-dependent recovery channels

Abstract

Objective: This study tested longitudinal associations between absolute levels of perceived partner responsiveness (PPR; how much people feel their romantic partners understand, care for, and appreciate them), daily negative affect (NA) reactivity and positive affect (PA) reactivity, and allcause mortality in a sample of 1,208 adults over three waves of data collection spanning 20 years. We also tested whether longitudinal changes in PPR predicted mortality via affect reactivity. Methods: Data were taken from the National Survey of Midlife Development in the United States (MIDUS). PPR was assessed at Waves 1 and 2, affect reactivity to stressors was assessed by daily diary reports at Wave 2, and mortality status was obtained at Wave 3. Results: Mediation analyses revealed absolute levels of PPR at Wave 1 predicted Wave 3 mortality via Wave 2 affective reactivity in the predicted direction, but this did not remain robust when statistically accounting for covariates (e.g., marital risk, neuroticism), β = .004, 95% CI: [-.03, .04]. However, Wave 1-2 PPR change predicted NA (but not PA) reactivity to daily stressors at Wave 2, which then predicted mortality risk a decade later (Wave 3); these results held when adjusting for relevant demographic, health, and psychosocial covariates, β =-.04, 95% CI: [-.09,-.002]. Conclusions: These findings are among the first to provide direct evidence of psychological mechanisms underlying the links between intimate relationships and mortality and have implications for research aiming to develop interventions that increase or maintain responsiveness in relationships over time.

A model for managing returns in a circular economy context: A case study from the Indian electronics industry

“…Figure 2: Product Recovery Operations in a CE A CE offers the opportunity to combine monetary benefits arising from cost reduction, revenue generation, customer retention, and value addition while at the same time practicing environmental stewardship and bringing about societal improvements (Shankar et al, 2018;Joshi and Gupta, 2019). Previous research in the CE domain has focused on various aspects, including: the implications of adopting CE business models (De Sousa Jabbour et al, 2019); third-party remanufacturing (Farhani et al, 2019); lot-sizing (Marshall and Archibald, 2018); network design (Srivastava, 2008); reverse logistics providers (Choudhary et al, 2014); inventory management (García-Alvarado); dismantling sequence (Cong et al, 2017); information management (Toyasaki et al, 2013); and the relationship between a CE and sustainability (Geissdoerfer et al, 2017;Millar et al, 2019). Despite the substantial amount of literature on the concept of a CE, studies focusing on recovery decision-making are still in their infancy.…”

A model of a production-repair inventory system with time-varying demand and quality-dependent recovery channels

“…Mokhtari [19] proposed an EPQ (economic production quantity) model in which demand is satisfied by items that are reusable for a finite number of times instead of just once, and he derived formulas for the optimal batch sizes for new items and for recovery. Marshall and Archibald [20] proposed a EPQ model with cycles consisting of multiple production runs followed by multiple recovery runs, where recovery converts returned items to either a serviceable level or into components that can be processed into serviceable items during the production runs. This reduces waste from disposing returned items that are not directly recoverable, which was the case in earlier models.…”

“…In this paper, we extend the EPQ model in [20] to the case of functions of time for the demand, production, and recovery (or repair) rates. The returned items are recovered through two channels-by repairing the returned items to a serviceable level or by converting the returned items into raw material that can be processed into serviceable items.…”